Unleashing children’s potential: An evidence-based narrative review of strategies to enhance cognitive function and intelligence in school-age children

Abstract

School-age cognitive development (6-12 years) represents a critical window of neural plasticity, during which intelligence and executive function can be meaningfully enhanced. Once considered largely fixed, these cognitive capacities are now recognized as dynamic, multifactorial, and modifiable through environmental, nutritional, educational, and psychosocial interventions. This review synthesizes current evidence on strategies to optimize cognitive function in typically developing children as well as special populations, including those with attention-deficit/hyperactivity disorder, learning disabilities, twice exceptional profiles, or socio-economic disadvantage. We examine the impact of macronutrient and micronutrient intake, gut-brain interactions, physical activity, sleep quality, parenting practices, stress regulation, educational curricula, digital learning tools, mindfulness, and social-emotional learning, highlighting mechanistic pathways, intervention effectiveness, and population-specific considerations. Methodological challenges, including heterogeneity, cultural bias, and translational gaps, are critically appraised. Finally, we propose priorities for multimodal, personalized, and scalable interventions, informed by perspectives from precision education, implementation science, and longitudinal research. By integrating neuroscientific, educational, and psychosocial insights, this review provides actionable recommendations for clinicians, educators, and policymakers to maximize children’s cognitive potential, academic achievement, and long-term adaptive outcomes.

Key Words: School-age children; Cognitive development; Executive function; Intelligence; Nutrition; Physical activity; Sleep; Education; Mindfulness; Neuroplasticity

Core Tip: School-age cognitive development is a window of heightened neural plasticity, where intelligence and executive function can be significantly enhanced through multimodal interventions. Evidence supports the use of integrated strategies that combine nutrition, physical activity, sleep hygiene, psychosocial enrichment, educational curricula, digital tools, and mindfulness to optimize cognitive outcomes. Targeted approaches for children with attention-deficit/hyperactivity disorder, learning disabilities, twice exceptional profiles, or socio-economic disadvantage are especially effective when personalized, strength-based, and contextually sensitive. This review emphasizes mechanistic understanding, translational feasibility, and cultural adaptability, offering a comprehensive roadmap for clinicians, educators, and policymakers to maximize cognitive potential and foster lifelong learning and resilience.

INTRODUCTION

For much of the twentieth century, intelligence was conceptualized as a relatively fixed, unitary trait, largely determined by genetic endowment and quantified by standardized intelligence quotient (IQ) tests. Early psychometric traditions emphasized stability across the lifespan, reinforcing the belief that cognitive capacity was minimally responsive to environmental influences beyond early childhood. This deterministic framework shaped educational policies and clinical practices for decades, often constraining expectations for cognitive growth once children entered formal schooling[1].

Advances in cognitive neuroscience and developmental psychology have profoundly transformed this perspective. Intelligence is now increasingly understood as a dynamic, multifaceted, and developmentally malleable construction, shaped by continuous interactions between biological predispositions and environmental experiences. Evidence from neuroimaging, longitudinal cohort studies, and intervention trials demonstrates sustained neural plasticity throughout the school-age years, characterized by experience-dependent remodeling of cortical and subcortical networks that support learning, executive function (EF), and higher-order cognition[2].

Within this contemporary framework, intelligence is no longer regarded as a singular construct but rather as a constellation of interrelated cognitive abilities. The classical distinction between fluid intelligence – the capacity for abstract reasoning, problem-solving, and novel learning – and crystallized intelligence – the accumulation of knowledge, vocabulary, and culturally mediated skills – remains foundational. Fluid intelligence is particularly sensitive to neurodevelopmental integrity and executive control processes, whereas crystallized intelligence reflects educational exposure and sociocultural enrichment. Importantly, accumulating evidence indicates that both domains remain modifiable during the school years through targeted cognitive, educational, and environmental interventions[3].

Beyond this dichotomy, expanded theoretical models have proposed multiple dimensions of intelligence, including executive functioning, emotional and social intelligence, and metacognitive abilities. These domains are increasingly recognized as critical determinants of academic performance, adaptive functioning, and long-term psychosocial outcomes. This conceptual evolution underscores the limitations of static IQ scores as sole indicators of cognitive potential and highlights the need for broader, developmentally informed assessment and intervention frameworks[4].

Recognizing intelligence as a plastic cognitive system carries important implications for child health, education, and public policy. It shifts the focus from innate limitation to modifiable opportunity, emphasizing the school-age period as a pivotal window for cognitive optimization[5]. This reconceptualization provides the theoretical foundation for examining evidence-based strategies that enhance cognitive function and intelligence in children, which is the central focus of this review.

Neurodevelopmental windows during school-age (6-12 years)

The school-age period, typically defined as 6-12 years, represents a critical yet frequently underestimated phase of neurodevelopment. Contrary to earlier assumptions that substantial brain plasticity is confined to early childhood, converging evidence from neuroimaging, electrophysiological, and longitudinal developmental studies demonstrates that the brain undergoes marked structural and functional maturation throughout the primary school years. This period constitutes a sensitive developmental window during which cognitive systems remain highly responsive to environmental, educational, and psychosocial influences[6].

Neurodevelopment during this stage follows region-specific trajectories. Progressive synaptic pruning enhances neural efficiency, while ongoing myelination, particularly within frontoparietal and frontostriatal networks, supports faster information processing and improved executive control. The prefrontal cortex (PFC) – central to working memory, inhibitory control, planning, and cognitive flexibility – undergoes prolonged maturation during the school years, rendering EFs especially amenable to targeted intervention. Concurrently, refinement of hippocampal and temporal lobe circuitry strengthens learning capacity, memory consolidation, and language-related skills[7].

Importantly, neurodevelopment in this period is characterized by pronounced experience-dependent plasticity. Educational enrichment, physical activity, adequate sleep, optimal nutrition, and emotional security have been shown to influence cortical thickness, functional connectivity, and neural activation patterns. In contrast, chronic stress, sleep disruption, nutritional deficiencies, and socioeconomic adversity may alter normative developmental trajectories, resulting in persistent cognitive inefficiencies. These findings emphasize that the school-age brain is not merely consolidating earlier gains but remains actively shaped by ongoing experiences[8].

From a cognitive standpoint, this developmental window coincides with substantial improvements in fluid intelligence, EF, attentional regulation, and metacognitive skills. These abilities form the cognitive foundation for academic learning and adaptive problem-solving and are strong predictors of long-term educational and occupational outcomes. Notably, intervention studies suggest that cognitive gains achieved during this period can be sustained into adolescence and adulthood, particularly when interventions are multimodal and maintained over time[9].

Recognizing the school years as a period of heightened neuroplastic opportunity reframes cognitive enhancement as both feasible and strategically timed. It supports a shift toward proactive, preventive, and developmentally informed interventions that extend beyond early childhood and provide a strong neurobiological rationale for targeting school-age children with evidence-based cognitive optimization strategies (Figure 1)[10].

Figure 1 Neurodevelopmental trajectories and brain maturation during the school-age period (6-12 years). It illustrates key neurodevelopmental processes occurring during the school-age period (6-12 years), a sensitive window of heightened brain plasticity. Progressive maturation is depicted across three representative ages (6 years, 9 years, and 12 years), highlighting dynamic changes in brain structure and function. Early school-age is characterized by high synaptic density, followed by activity-dependent synaptic pruning that enhances neural efficiency. Concurrently, ongoing myelination of frontoparietal and frontostriatal pathways supports faster information processing and improved executive control. Refinement of hippocampal circuitry underpins advances in learning and memory, while prolonged maturation of the prefrontal cortex facilitates the development of higher-order cognitive functions, including working memory, inhibitory control, and cognitive flexibility. It also emphasizes the influence of modifiable environmental factors – such as cognitive stimulation, physical activity, sleep quality, and emotional and social support – on shaping neurodevelopmental trajectories during this period. Collectively, these processes underscore the school years as a critical window for targeted, evidence-based interventions to optimize cognitive function and intelligence.

Rationale for a multi-domain, modifiable-factors approach

The recognition of intelligence as a dynamic and plastic construct necessitates a shift away from single-factor explanations toward a multi-domain, modifiable-factors framework. Cognitive development during the school years arises from the continuous interplay between biological systems, environmental exposures, educational experiences, and psychosocial contexts. No single intervention – nutritional, educational, or behavioral – operates in isolation; rather, cognitive outcomes reflect the cumulative and interactive effects of multiple determinants acting across developmental time[11].

A growing body of evidence demonstrates that cognitive function is shaped by converging and interdependent pathways. Adequate nutrition supports neurochemical synthesis and myelination, physical activity enhances neurotrophic signaling and executive control, sleep facilitates memory consolidation, and emotionally supportive environments regulate stress-responsive neuroendocrine systems. In parallel, enriched educational experiences and cognitively stimulating home environments promote synaptic refinement and functional network integration. These influences are not merely additive but often synergistic, with combined interventions producing larger and more durable cognitive gains than isolated strategies[12].

A modifiable-factors approach is further supported by substantial interindividual variability in cognitive trajectories among school-age children. While genetic predispositions contribute to cognitive differences, modifiable contextual factors – including parenting practices, school quality, psychosocial stress, and socioeconomic conditions – exert profound influence. Crucially, many of these determinants are amenable to intervention at the family, school, and community levels, rendering cognitive enhancement a realistic and equitable public health objective[13].

This framework is particularly relevant for children with developmental vulnerabilities, such as attention-deficit/hyperactivity disorder, learning difficulties, or socioeconomic disadvantage, in whom single-domain interventions often yield limited benefits. Multi-component strategies that concurrently target neurobiological, behavioral, and environmental pathways have demonstrated superior efficacy in narrowing cognitive gaps and promoting functional resilience. Such approaches are consistent with contemporary models of developmental systems theory and precision education, which emphasize individualized, context-sensitive intervention[14].

Finally, a multi-domain perspective carries important translational implications. It facilitates the integration of neuroscientific evidence with educational practice and pediatric care, encouraging cross-sector collaboration among clinicians, educators, parents, and policymakers. By focusing on modifiable determinants within critical developmental windows, this approach shifts the narrative from remediation to optimization, positioning the school years as a strategic period for maximizing cognitive potential[15]. This rationale underpins the comprehensive examination of evidence-based cognitive enhancement strategies presented in this review.

Objectives of the review

The primary objective of this review is to critically synthesize current evidence on modifiable strategies that enhance cognitive function and intelligence in school-age children. By integrating findings from neuroscience, psychology, education, and pediatric health, this article aims to elucidate the mechanisms through which nutritional, physical, psychosocial, and educational interventions influence cognitive development during the school years. Additional aims include evaluating the strengths and limitations of existing evidence, with particular attention to vulnerable populations and real-world applicability, and identifying key knowledge gaps and future research priorities to inform the development of scalable, culturally adaptable, and evidence-based approaches to optimize children’s cognitive potential.

METHODOLOGY

This narrative review was conducted using structured search principles to identify high-quality, recent evidence across multiple domains that influence cognitive development in school-age children (6-12 years). A comprehensive literature search was conducted across PubMed, Scopus, Web of Science, and PsycINFO, covering publications from 2000 to 2026. Search terms included combinations of “cognition”, “intelligence”, “executive function”, “school-age children”, “nutrition”, “physical activity”, “sleep”, “psychosocial intervention”, “education”, “digital learning”, and “mindfulness”. Reference lists of relevant reviews and primary studies were also screened to identify additional sources.

CONCEPTUAL AND THEORETICAL FRAMEWORK

Cognitive domains addressed

Cognitive functioning in school-age children is best conceptualized as a constellation of interrelated domains that collectively support learning, problem-solving, and adaptive behavior. Rather than treating intelligence as a unitary construct, contemporary models emphasize the interaction between general cognitive ability and domain-specific processes that exhibit distinct developmental trajectories and differential sensitivity to environmental modulation. This review focuses on five core cognitive domains that are central to academic performance and neurodevelopment during the school years: (1) General intelligence; (2) EF; (3) Working memory; (4) Attention; and (5) Processing speed (Table 1)[16].

Table 1 Core cognitive domains in school-age children: Neural substrates and modifiable influences.

Cognitive domain	Primary neural substrates	Key developmental features (6-12 years)	Major modifiable factors
General intelligence (g)	Distributed frontoparietal network; default mode and executive control networks	Integration of reasoning, learning efficiency, and knowledge acquisition; increasing network efficiency	Quality of education, cognitive stimulation, nutrition, socioeconomic context, and health status
Executive function	PFC (dorsolateral, ventromedial), anterior cingulate cortex, frontostriatal circuits	Progressive maturation of inhibitory control, cognitive flexibility, planning, and self-regulation	Executive-function-based curricula, physical activity, sleep quality, stress reduction, and parenting practices
Working memory	Dorsolateral PFC, posterior parietal cortex, frontoparietal connectivity	Rapid gains in information maintenance and manipulation; strong predictor of academic performance	Cognitive training, instructional design, sleep, nutrition, and emotional regulation
Attention	Frontoparietal attention networks, thalamocortical circuits, locus coeruleus-noradrenergic system	Improved sustained and selective attention; reduced distractibility	Classroom structure, behavioral interventions, physical activity, mindfulness, screen-time regulation
Processing speed	White matter tracts (e.g., corpus callosum), widespread cortical-subcortical connectivity	Increased neural transmission efficiency driven by myelination and network refinement	Physical activity, sleep, health status, enriched learning environments

PFC: Prefrontal cortex.

General intelligence reflects the shared variance across diverse cognitive tasks and remains a robust predictor of educational achievement and life outcomes. From a theoretical perspective, general intelligence is increasingly viewed as an emergent property of distributed neural networks rather than a localized brain function. During the school years, general intelligence integrates gains in reasoning, learning efficiency, and knowledge acquisition, making it particularly responsive to cumulative environmental influences such as education quality, cognitive stimulation, and health-related factors[17].

EF encompasses higher-order cognitive processes that regulate goal-directed behavior, including inhibitory control, cognitive flexibility, and planning. These functions are critically dependent on the maturation of prefrontal and frontostriatal circuits, which continue to develop throughout the school-age period. EF plays a central role in classroom learning, self-regulation, and adaptive problem-solving and serves as a key mediator through which environmental and educational interventions exert broader effects on cognitive performance[18].

Working memory, defined as the capacity to temporarily hold and manipulate information, is a core component of EF and a strong determinant of academic skills such as reading comprehension, mathematics, and reasoning. Developmentally, working memory shows marked improvement during middle childhood, paralleling the maturation of prefrontal and parietal networks. Its sensitivity to cognitive training, sleep quality, stress, and instructional design renders it a critical target for cognitive enhancement strategies[19].

Attention refers to the ability to selectively focus on relevant information while sustaining mental effort and resisting distraction. Attentional control underpins learning efficiency and interacts closely with EF and working memory. During the school years, improvements in attentional capacity are associated with increased neural efficiency and strengthened connectivity within frontoparietal attentional networks. Disruptions in attention, whether due to neurodevelopmental conditions or environmental stressors, can disproportionately impair academic and cognitive outcomes[20].

Processing speed reflects the efficiency with which cognitive operations are executed and information is integrated. It is influenced by neural transmission speed, myelination, and network connectivity, all of which undergo substantial refinement during the school-age years. Processing speed supports higher-order cognition by freeing cognitive resources for complex tasks and has been shown to contribute independently to academic achievement and general intelligence[21]. Collectively, these domains form an interdependent cognitive architecture in which development in one domain can amplify or constrain performance in others. Understanding their distinct yet interconnected roles provide a conceptual foundation for evaluating how multi-domain, modifiable interventions can optimize cognitive function and intelligence during the school years.

Neuroplasticity, cognitive reserve, and developmental systems theory

Cognitive development in childhood is best understood as a dynamic, experience-dependent process shaped by continuous interactions between neural architecture, environmental inputs, and developmental timing. Three interrelated theoretical constructs – neuroplasticity, cognitive reserve, and developmental systems theory – provide a robust framework for explaining variability in cognitive outcomes and responsiveness to intervention across childhood and adolescence (Figure 2)[22].

Figure 2 Integrated conceptual framework linking neuroplasticity, cognitive reserve, and developmental systems theory. It illustrates the dynamic, bidirectional relationships among neuroplasticity, cognitive reserve, and developmental systems theory, as complementary mechanisms underlying cognitive development across childhood. Neuroplasticity is a foundational biological process that enables experience-dependent structural and functional changes in the brain, particularly during developmentally sensitive periods. Cognitive reserve is represented as an emergent, cumulative capacity arising from repeated cognitive engagement, environmental enrichment, and adaptive neural network utilization, conferring resilience against developmental risk and variability in cognitive outcomes. Developmental systems theory encompasses and contextualizes both constructs, highlighting the continuous interactions among neural maturation, behavior, and multilevel environmental influences (e.g., family, education, culture, and health). Together, these interconnected processes support cognitive modifiability, developmental heterogeneity, and differential responsiveness to intervention across cognitive domains and developmental stages.

Neuroplasticity as the biological substrate of cognitive change: Neuroplasticity refers to the brain’s capacity to modify its structural and functional organization in response to intrinsic maturation and extrinsic experiences. During childhood, heightened synaptogenesis, synaptic pruning, dendritic arborization, and activity-dependent myelination confer exceptional plastic potential, particularly within association cortices and frontoparietal networks. These processes underpin learning-related changes in EF, working memory, attention, and processing speed. Importantly, plasticity is not uniform across development; sensitive and critical periods render specific neural circuits more amenable to modification at particular developmental stages. This temporal specificity has direct implications for the timing and targeting of cognitive, educational, and environmental interventions[23,24].

Cognitive reserve and individual variability in outcomes: Cognitive reserve provides a complementary explanatory model, accounting for why individuals with similar neural insults or developmental risks may exhibit divergent cognitive trajectories. Conceptualized as the brain’s ability to optimize or flexibly recruit alternative neural networks, cognitive reserve is shaped by cumulative life experiences, including education quality, cognitive stimulation, physical activity, nutrition, and psychosocial enrichment[25]. In pediatric populations, reserve is not a static end-state but a developing capacity, progressively constructed through repeated engagement of cognitive systems. Higher reserve may buffer the effects of neurodevelopmental vulnerability, socioeconomic adversity, or medical illness, while lower reserve may amplify the functional impact of similar neural disruptions[26].

Developmental systems theory (integrating brain, behavior, and context): Developmental systems theory situates neuroplasticity and cognitive reserve within a broader, multilevel framework that rejects linear or single-cause explanations of development. Cognitive domains emerge from reciprocal interactions among genetic predispositions, neural maturation, behavioral engagement, and environmental context, operating across multiple time scales[27]. From this perspective, cognition is not localized solely within discrete brain regions, but is an emergent property of interacting systems, including family dynamics, educational settings, cultural practices, and biological regulation. Small changes in one component of the system (e.g., sleep quality, stress exposure, instructional methods) can produce cascading effects across cognitive domains, particularly during periods of heightened plasticity[28].

Implications for cognitive modifiability: Together, these frameworks converge on a central principle: Cognitive abilities in childhood are modifiable, probabilistic, and context-dependent rather than fixed traits. Neuroplasticity provides the biological mechanism for change, cognitive reserve explains resilience and heterogeneity, and developmental systems theory clarifies why interventions must be developmentally timed, contextually embedded, and multidimensional[29]. This integrated theoretical foundation supports the rationale for targeting cognitive domains through enriched environments, adaptive educational strategies, and health-promoting interventions that align with the child’s developmental stage and ecological context[30].

Interaction between biological, environmental, and educational determinants

Cognitive development during the school-age years arises from the continuous interplay among biological maturation, environmental exposures, and educational inputs, rather than from any single determinant acting in isolation. These domains operate as an integrated developmental system, in which changes at one level can amplify – or constrain – cognitive trajectories at others, creating windows of opportunity for targeted intervention (Table 2)[31].

Table 2 Interaction of biological, environmental, and educational determinants in cognitive development: Mechanisms and targeted interventions.

Determinant domain	Specific determinants	Primary neurocognitive mechanisms	Cognitive domains affected	Clinical/educational interventions
Biological	Nutrition (iron, iodine, omega-3 fatty acids, vitamin D)	Myelination, neurotransmitter synthesis, and synaptic efficiency	Processing speed, working memory, and attention	Nutritional screening and supplementation; school meal optimization; pediatric dietary counseling
	Sleep quantity and quality	Memory consolidation, synaptic homeostasis, executive regulation	Learning, attention, EF	Sleep hygiene education, delayed school starting times, and treatment of sleep disorders
	Physical activity and fitness	Neurotrophic signaling (brain-derived neurotrophic factors), cerebral blood flow, and network connectivity	EF, processing speed	Structured physical education; aerobic exercise programs; movement-integrated learning
	Stress physiology (hypothalamic-pituitary-adrenal-axis activation)	Cortisol-mediated disruption of prefrontal and hippocampal function	Attention, emotional regulation, and working memory	Trauma-informed care, stress-reduction programs, and family psychosocial support
Environmental	Parental engagement and home stimulation	Language exposure, experience-dependent plasticity	Verbal intelligence, memory, and metacognition	Parent-training programs; guided home learning activities; literacy promotion
	Socioeconomic context	Chronic stress exposure; access to enrichment	Global cognitive function, academic achievement	Community-based support programs; early academic enrichment; policy-level interventions
	Emotional security and attachment	Regulation of affective-cognitive networks	EF, social cognition	Parenting interventions; school counseling services
Educational	Instructional quality and pedagogy	Executive scaffolding; cognitive load optimization	Fluid intelligence, problem-solving	Executive-function-based curricula; differentiated instruction
	Classroom environment	Attention regulation; motivation and engagement	Attention, processing speed	Reduced class size; structured classroom routines; teacher training
	Cognitive training and enrichment	Network strengthening and cognitive reserve accumulation	Working memory, reasoning	Cognitive training programs; enrichment-based curricula
	Technology-assisted learning	Multimodal engagement; adaptive feedback	Processing speed, metacognition	Digital learning platforms; artificial intelligence-assisted personalized instruction
Integrated/multimodal	Combined health, environmental, and educational inputs	Synergistic enhancement of plasticity and reserve	Broad cognitive outcomes	Multidisciplinary intervention models; school-clinic partnerships

EF: Executive function.

At the biological level, ongoing brain maturation – including synaptic pruning, myelination, and network integration within frontoparietal and frontostriatal circuits – establishes the neural substrate for higher-order cognitive functions such as executive control, working memory, and processing speed. This biological readiness is highly sensitive to modifiable factors, including nutritional status (e.g., iron, iodine, omega-3 fatty acids), sleep quality, physical activity, and exposure to chronic stress or inflammation. Neurobiological vulnerability or enrichment during this period can therefore alter responsiveness to cognitive and educational interventions[32].

Environmental determinants shape how biological potential is expressed. Family socioeconomic context, parental engagement, psychosocial stability, language exposure, and access to cognitively stimulating experiences influence both neural plasticity and the accumulation of cognitive reserves. Adverse environments – characterized by poverty, toxic stress, or limited enrichment – may disrupt attention regulation, stress physiology, and executive functioning, while enriched environments can partially buffer biological risk and enhance intervention efficacy[33].

Educational determinants act as structured, scalable modifiers that translate biological and environmental inputs into measurable cognitive gains. Instructional quality, classroom climate, curriculum design, and teacher-student interactions directly influence EF development, metacognition, and learning efficiency. Importantly, educational interventions are most effective when aligned with developmental stage and individualized cognitive profiles, reinforcing the need for biologically informed, context-sensitive educational strategies[34].

Clinically, this triadic interaction underscores the rationale for multimodal intervention models that integrate health optimization, family-centered support, and evidence-based educational practices. Such models are particularly relevant for children with neurodevelopmental vulnerabilities or social disadvantages, in whom coordinated biological, environmental, and educational interventions may yield synergistic and sustained cognitive benefits[35].

Proposed integrative model of cognitive enhancement in school-age children

Building on contemporary evidence from neuroscience, developmental psychology, and educational science, we propose an integrative model that conceptualizes cognitive enhancement in school-age children as the emergent outcome of dynamic interactions among biological readiness, environmental context, and educational input, operating within a framework of sustained neuroplasticity and cumulative cognitive reserve. This model moves beyond linear or single-domain explanations to capture the complexity and modifiability of cognitive development during the school years[36].

At the core of the model lies the developing brain, characterized by region-specific maturation and experience-dependent plasticity. Neurobiological processes, including synaptic refinement, myelination, and network integration, establish both constraints and opportunities for cognitive growth. These processes are continuously shaped by modifiable biological determinants such as nutrition, sleep, physical activity, and stress regulation, which influence neural efficiency and responsiveness to intervention[37].

Surrounding this biological core, environmental factors – including family engagement, socioeconomic context, emotional security, and cultural influences – modulate both neural development and learning opportunities. These influences determine the quality, frequency, and emotional salience of cognitive experiences, thereby shaping the accumulation of cognitive reserve and resilience against developmental risk. Importantly, environmental enrichment can amplify biological potential, while adversity may dampen or delay cognitive gains unless adequately addressed[38].

Educational inputs form the most structured and scalable component of the model, translating biological and environmental conditions into measurable cognitive outcomes. Instructional quality, curriculum design, classroom climate, and targeted cognitive training directly scaffold EFs, working memory, attention, and metacognitive skills. Educational interventions are most effective when aligned with developmental stage and individualized cognitive profiles, reinforcing the need for biologically informed and context-sensitive pedagogical strategies[39].

Crucially, the model emphasizes bidirectional and recursive pathways. Cognitive gains feed back into environmental engagement and educational responsiveness, reinforcing learning motivation and self-regulation. Over time, repeated activation of these pathways contributes to the development of cognitive reserves, supporting sustained cognitive performance and adaptability across later developmental stages[40].

This integrative model provides a unifying framework for aligning clinical, educational, and public health interventions (Figure 3). It supports a shift from isolated strategies toward coordinated, multimodal approaches that target multiple determinants simultaneously, particularly for children with neurodevelopmental vulnerabilities or social disadvantages. By situating interventions within a developmentally informed systems framework, the model provides a practical roadmap to optimize cognitive function and intelligence during the school years[41].

Figure 3 Integrative model of cognitive enhancement in school-age children. It illustrates the proposed integrative mode in which cognitive enhancement arises from the dynamic and bidirectional interplay among biological, environmental, and educational determinants within a developing neuroplastic brain. These integrated factors cumulatively build cognitive reserve over developmental time, resulting in enhanced cognitive domains in school-age children.

NUTRITIONAL DETERMINANTS OF COGNITIVE FUNCTION

Adequate nutrition is a foundational and modifiable determinant of cognitive development during the school-age years, directly influencing brain structure, neurochemistry, and functional efficiency. As cognitive demands intensify with formal education, the developing brain requires a sustained energy supply and specific macronutrients and micronutrients to support synaptic plasticity, neurotransmission, and network integration[42]. Nutritional insufficiencies or imbalances during this period may compromise attention, learning efficiency, and executive functioning, whereas optimized dietary patterns can enhance cognitive performance and resilience. This section synthesizes current evidence on nutritional factors relevant to cognitive function in school-age children, with a focus on mechanistic pathways and translational implications for clinical and educational practice[43].

Macronutrients and brain energy metabolism

Macronutrients provide both the energetic substrate and structural components required for optimal brain function. During the school-age years, when cognitive workload and executive demands increase, the quality and balance of macronutrient intake are critical for sustaining attention, learning, and higher-order cognitive processes. Emerging evidence indicates that macronutrients influence cognition not merely through caloric adequacy but also through specific effects on neurotransmitter synthesis, membrane composition, glycemic stability, and neuroendocrine regulation (Table 3)[44].

Table 3 Macronutrients, neurobiological mechanisms, cognitive domains, and dietary interventions in school-age children.

Macronutrient	Key neurobiological mechanisms	Primary cognitive domains affected	Evidence-based dietary interventions
Protein (quality and distribution)	Neurotransmitter synthesis (dopamine, serotonin, norepinephrine); synaptic plasticity; neuromodulatory balance	Attention, EF, working memory, processing speed	Adequate daily protein intake from high-quality sources (eggs, dairy, legumes, lean meats); protein inclusion at breakfast and lunch
Essential fatty acids (omega-3, docosahexaenoic acid, eicosapentaenoic acid)	Neuronal membrane fluidity and integrity; synaptic signaling; neuroinflammation modulation; connectivity enhancement	Learning, memory, attention, executive control	Increased intake of fatty fish, omega-3-rich plant sources, and supplementation in deficient populations
Carbohydrates (glycemic load)	Brain glucose availability; insulin signaling; neurotransmitter regulation	Attention stability, working memory, processing speed	Low-moderate glycemic index meals; complex carbohydrates; avoidance of refined sugars
Dietary fats (quality)	Myelination support; lipid-mediated signaling pathways	Processing speed, EF	Replacement of trans fats with unsaturated fats; balanced fat intake
Macronutrient balance (meal composition)	Sustained energy delivery; hormonal and metabolic stability	Global cognitive performance, academic endurance	Balanced meals combining protein, complex carbohydrates, and healthy fats
Breakfast consumption	Morning glucose availability; attentional priming	Attention, learning readiness	Regular, nutritionally balanced breakfast programs in schools

EF: Executive function.

Protein quality: Dietary protein supplies essential amino acids that serve as precursors for key neurotransmitters, including dopamine (DA), serotonin, and norepinephrine, which regulate attention, motivation, mood, and executive control. High-quality proteins – characterized by adequate essential amino acid composition and digestibility – are particularly important for supporting PFC-dependent cognitive functions[45]. Insufficient protein intake or poor protein quality has been associated with reduced attentional capacity, slower processing speed, and impaired working memory, especially in socioeconomically vulnerable populations. Conversely, balanced protein intake distributed across meals may enhance cognitive alertness and learning efficiency during school hours[44].

Essential fatty acids: The brain is composed largely of lipids, with fats accounting for approximately 60% of its dry weight, underscoring their fundamental role in neurodevelopment. During the school-age period (6-12 years), healthy dietary fats – particularly essential fatty acids – are critical for maintaining and refining neuronal membranes and synaptic connections. Long-chain polyunsaturated fatty acids, most notably docosahexaenoic acid (DHA) and arachidonic acid, are integral structural components of neuronal cell membranes and synapses[46]. Omega-3 fatty acids, and DHA in particular, support membrane fluidity, synaptic signaling, and inter-neuronal communication, thereby facilitating learning, memory formation, and executive functioning. DHA is a major constituent of the cerebral cortex and plays an important role in modulating neuroinflammatory processes and promoting efficient neural connectivity. During middle childhood, ongoing accretion of these fatty acids supports synaptic refinement and network maturation that underlie advancing cognitive abilities[47]. Insufficient intake of omega-3 fatty acids during this developmental window has been associated with attentional difficulties, poorer academic performance, and increased risk of neurodevelopmental challenges. Conversely, adequate dietary intake is associated with modest but meaningful improvements in cognitive performance and behavioral regulation in school-age children[48].

Glycemic load and brain energy supply: The brain, which accounts for only about 2% of our body weight, uses roughly 20% of our daily caloric intake. Glucose is the brain’s primary energy source, and cognitive performance is highly sensitive to fluctuations in glycemic availability. Providing a steady supply of glucose from complex carbohydrates (such as whole grains, fruits, and vegetables) helps prevent energy dips that can lead to difficulty concentrating and irritability[49]. Diets with high glycemic load may induce rapid postprandial glucose excursions, followed by hypoglycemia, which can adversely affect attention, working memory, and processing speed. In contrast, low-to-moderate glycemic load meals that provide sustained glucose release are associated with improved cognitive stability, particularly during prolonged academic tasks. Breakfast composition is especially influential, with balanced meals combining complex carbohydrates, protein, and healthy fats supporting optimal morning cognitive performance in school-age children[50].

Collectively, these findings highlight macronutrients as a modifiable lever for optimizing brain energy metabolism and cognitive function during the school years. From a clinical and educational perspective, interventions that prioritize protein quality, adequate essential fatty acid intake, and glycemic stability represent low-risk, scalable strategies with potential to enhance learning readiness and cognitive efficiency across diverse child populations[51].

Breakfast consumption, cognitive performance, and school achievement

Breakfast consumption has emerged as a critical and modifiable determinant of cognitive function and academic performance in school-age children. Following an overnight fast, the brain – characterized by high glucose demand and limited energy reserves – relies on morning nutritional intake to support attention, readiness for learning, and executive control during early school hours. Accumulating evidence indicates that both the presence and nutritional quality of breakfast significantly influence cognitive efficiency and educational outcomes[52].

From a neurobiological perspective, breakfast intake restores glucose availability, stabilizes insulin signaling, and supports neurotransmitter synthesis, particularly within prefrontal and hippocampal circuits that underpin attention, working memory, and learning. Balanced breakfasts that combine complex carbohydrates with protein and healthy fats promote sustained glucose release, reducing cognitive fluctuations associated with high-glycemic meals. In contrast, breakfast omission or consumption of energy-dense, nutrient-poor foods has been linked to impaired attentional regulation, slower information processing, and increased cognitive fatigue[53,54].

Observational and interventional research consistently links regular breakfast consumption with improved academic outcomes, including higher standardized test scores, better classroom behavior, and increased school attendance. These benefits are especially pronounced among children from socioeconomically disadvantaged backgrounds, in whom breakfast skipping and nutritional inadequacy are more prevalent[55]. Using functional magnetic resonance imaging, Fulford et al[56] examined cognitive performance in adolescents under fed and fasting conditions and reported significantly greater activation in frontal, premotor, and primary visual cortical regions following breakfast consumption, despite only modest, statistically nonsignificant improvements in task performance. Similarly, Adolphus et al[57] demonstrated that adolescents who consumed breakfast exhibited faster reaction times and improved sustained visual attention compared with those who skipped breakfast. Notably, the greatest cognitive gains were observed among participants with poorer baseline performance. In parallel, school breakfast programs have been shown to reduce educational disparities, enhance on-task behavior, and increase engagement in learning, underscoring breakfast consumption as both a cognitive-enhancing and equity-promoting intervention[58].

Importantly, breakfast quality modifies cognitive outcomes. Meals rich in refined sugars may produce transient improvements in alertness followed by attentional decline, whereas breakfasts emphasizing whole grains, protein, and essential fatty acids are associated with more stable cognitive performance across the school morning. Emerging evidence also suggests that breakfast composition may interact with individual metabolic and neurodevelopmental profiles, highlighting the need for context-sensitive recommendations[59]. Collectively, these findings position breakfast consumption as a low-cost, scalable strategy with meaningful implications for cognitive function and school achievement. Integrating nutritionally balanced breakfast initiatives into clinical counseling, school health policies, and educational planning represents a pragmatic approach to enhancing readiness for learning and academic success throughout the school years.

Micronutrients and neurocognition

Micronutrients play essential roles in neurodevelopment, neurotransmission, and brain energy metabolism, with ongoing relevance throughout the school-age years. Although severe deficiencies are less common than in early childhood, subclinical insufficiencies remain prevalent globally and may exert subtle but meaningful effects on cognitive function, academic performance, and behavioral regulation. Evidence from randomized controlled trials (RCTs) and longitudinal cohort studies supports the contribution of several key micronutrients to neurocognitive outcomes during this developmental period (Table 4)[60].

Table 4 Key micronutrients, neurobiological mechanisms, cognitive domains, and strength of evidence in school-age children.

Micronutrient	Primary neurobiological mechanisms	Key cognitive domains affected	Evidence strength1	Recommended daily intake (6-12 yrs)
Iron	Oxygen transport and cerebral energy metabolism. Myelination of white matter tracts. Dopaminergic neurotransmission	Attention, working memory, processing speed, and learning efficiency	High (consistent longitudinal data; RCT benefit in deficient children)	10-12 mg/day
Iodine	Thyroid hormone synthesis. Regulation of neuronal metabolism and synaptic plasticity	Verbal intelligence, reasoning, EF	Moderate-high (strong biological plausibility; RCTs mainly in deficient regions)	120 μg/day
Zinc	Synaptic signaling and neurogenesis. Modulation of glutamate and GABA receptors	Attention, memory, EF	Moderate (context-dependent; strongest effects in deficient/malnourished populations)	8-10 mg/day
Vitamin D	Neuroimmune regulation. Neurotransmission and neurotrophic signaling	EF, attention, and processing speed	Low-moderate (observational consistency; mixed RCT results)	600 IU/day (15 μg)
Folate (B9)	One-carbon metabolism. DNA methylation and neurotransmitter synthesis	Attention, memory, and academic achievement	Moderate (longitudinal support; limited school-age RCTs)	300 μg/day (dietary folate equivalents)
Vitamin B12	Myelin synthesis. Neuronal integrity and energy metabolism	Memory, processing speed, EF	Moderate (strong mechanistic rationale; limited intervention trials)	1.8-2.4 μg/day
Vitamin B6	Synthesis of serotonin, dopamine, and GABA	Attention regulation, EF	Low-moderate (supportive mechanistic data; limited direct cognitive trials)	1.0-1.3 mg/day
Choline	Acetylcholine synthesis. Cell membrane formation and signaling	Memory, learning, EF	Low-moderate (emerging evidence; paucity of RCTs in school-age children)	375-400 mg/day
Vitamin C	Antioxidant defense; catecholamine synthesis; synaptic plasticity	Attention, learning, and processing speed	Moderate (cohort + mechanistic)	45-75 mg/day (children-adolescents)
Vitamin E	Membrane protection; prevention of lipid peroxidation; synaptic integrity	Memory, EF	Moderate (cohort + biological plausibility)	7-15 mg/day (α-tocopherol equivalents)

¹Evidence strength reflects consistency across randomized controlled trials, longitudinal cohort studies, and mechanistic plausibility in school-age populations (6-12 years). Cognitive benefits of supplementation are most consistently observed in children with documented deficiency or inadequate dietary intake. Upper intake limits should be respected; routine high-dose supplementation is not recommended without clinical indication.

EF: Executive function; GABA: Gamma-aminobutyric acid; RCTs: Randomized controlled trials.

Iron: Iron is critical for oxygen transport, mitochondrial energy production, myelination, monoamine neurotransmission, and DA synthesis. During school-age, iron deficiency – even in the absence of anemia – has been associated with behavior and emotional disturbances, impaired neurotransmitter function, impairments in attention, working memory, and processing speed. Longitudinal studies demonstrate that early iron deficiency can have lasting cognitive effects, while RCTs show that iron supplementation in iron-deficient school-aged children can improve cognitive scores by approximately 0.4-0.6 standard deviations, particularly in attention, working memory, and learning performance. However, cognitive benefits appear contingent on baseline deficiency, underscoring the importance of targeted rather than universal supplementation[61,62].

Iodine: Iodine is indispensable for thyroid hormone synthesis, which regulates neuronal migration, synaptogenesis, thyroid-dependent myelination, and metabolic activity within the developing brain. While the most severe neurocognitive consequences of iodine deficiency occur prenatally, emerging evidence suggests that mild-to-moderate iodine insufficiency during school-age may adversely affect verbal intelligence, reading ability, and executive functioning. RCTs and school-based supplementation trials in iodine-deficient regions have demonstrated modest improvements in cognitive test performance, particularly in verbal and reasoning domains[63,64].

Zinc: Zinc participates in growth factors, synaptic signaling, efficacy, neurogenesis, and modulation of neurotransmitter receptors, including glutamatergic and GABAergic systems. Observational studies link zinc deficiency to impaired synaptic function, neurogenesis, attentional deficits, and memory, while RCTs suggest that zinc supplementation may improve cognitive performance and academic outcomes, particularly in children with baseline deficiency or concurrent malnutrition. The cognitive effects of zinc appear to be context-dependent and often synergistic with other micronutrients[65,66].

Vitamin D: Vitamin D receptors and metabolizing enzymes are widely expressed in the brain, implicating vitamin D in neurodevelopment, neuroimmune regulation, and neurotransmission. It has been linked to improved mood and a reduced risk of depression. Low vitamin D status has been associated with poorer EF, attention, and processing speed in observational cohorts. Although RCT evidence in school-age children remains mixed, supplementation studies suggest potential benefits for cognitive and behavioral outcomes in populations with deficiencies, warranting further investigation[67,68].

B-vitamins and choline: B-vitamins, including folate, vitamin B12, and vitamin B6, are integral to one-carbon metabolism, DNA methylation, and neurotransmitter synthesis. Longitudinal studies link inadequate B-vitamin status to deficits in attention, memory, and academic achievement. Choline, a precursor of acetylcholine and phospholipids, supports memory and EF through its roles in cholinergic signaling, myelination, and membrane integrity. While RCT data in school-age populations are limited, emerging evidence supports the importance of adequate intake for optimal cognitive functioning[60,69,70].

Antioxidant vitamins and neurocognitive function: Oxidative stress is increasingly recognized as a key contributor to neurodevelopmental vulnerability during the school-age years, a period marked by rapid brain growth, synaptic remodeling, and increasing cognitive demands[71]. Antioxidant vitamins, particularly vitamin C and vitamin E, play complementary and essential roles in protecting neural tissue from oxidative damage, preserving membrane integrity, and supporting efficient neurotransmission. Vitamin C (ascorbic acid) is highly concentrated in the brain, especially within the hippocampus and frontal cortex – where it functions as a potent water-soluble antioxidant and contributes to neurotransmitter synthesis, including DA and norepinephrine, as well as synaptic plasticity and myelination[72]. It also regenerates vitamin E, thereby strengthening overall antioxidant defense. Observational and longitudinal studies have linked adequate vitamin C intake in children aged 6-12 years with improved attention, learning efficiency, and processing speed, whereas deficiency has been associated with fatigue, irritability, and reduced cognitive performance[73]. Vitamin E (α-tocopherol), the primary lipid-soluble antioxidant in neural membranes, protects polyunsaturated fatty acids from peroxidation and supports neuronal membrane fluidity, synaptogenesis, long-term potentiation, and memory formation. Higher dietary vitamin E intake during childhood has been associated with better memory performance and executive functioning, whereas vitamin E deficiency is linked to neuromuscular and cognitive disturbances. In addition, vitamin E exerts anti-inflammatory effects that may be particularly relevant in neurodevelopmental conditions characterized by chronic low-grade inflammation[74].

Synthesis of evidence: Across micronutrients, the strongest cognitive effects are observed in children with documented deficiency, highlighting the importance of screening and targeted intervention. RCTs generally demonstrate modest but meaningful cognitive gains, while longitudinal studies underscore the potential for lasting impacts of early or sustained insufficiency[75]. Collectively, these findings reinforce micronutrient adequacy as a critical component of cognitive optimization strategies during the school years and support integration of nutritional assessment into pediatric and school health frameworks.

Gut-brain axis and cognitive development: Microbiome-related nutritional influences

Recent evidence underscores the gut-brain axis as a critical pathway linking diet, microbiota composition, and cognitive function in school-age children. The gut microbiome – a complex ecosystem of bacteria, viruses, fungi, and archaea – plays a pivotal role in neurodevelopment through metabolic, immune, and neurochemical pathways. Microbiota diversity and balance are increasingly recognized as determinants of attention, memory, EF, and social-emotional regulation, making the gut a modifiable target for nutritional and clinical interventions[76,77].

Microbiota diversity and cognitive outcomes

High microbial diversity is generally associated with more robust cognitive function and behavioral regulation, whereas reduced diversity or dysbiosis has been linked to attentional difficulties, impaired memory, and executive dysfunction. Diet is a primary modulator of microbiota composition: Fiber-rich foods, prebiotics, and complex carbohydrates promote beneficial bacterial populations, while diets high in refined sugars and saturated fats may reduce diversity and increase pro-inflammatory species[78]. Emerging clinical research also highlights the potential of psychobiotics – probiotics or prebiotics that exert beneficial effects on mental and cognitive outcomes – particularly in children at risk of neurodevelopmental or behavioral disorders[79].

Mechanistic pathways

The gut-brain axis operates through several interrelated mechanisms that link dietary patterns, microbiota composition, and cognitive development during the school-age years. Gut microbiotas influence systemic and central inflammatory pathways, with dysbiosis promoting the release of pro-inflammatory cytokines that may disrupt synaptic plasticity and impair PFC functioning; in contrast, antiinflammatory dietary patterns rich in fiber, polyphenols, and omega-3 fatty acids can attenuate these effects[80]. In parallel, gut bacteria contribute to the synthesis and metabolism of key neurotransmitters, including serotonin, gamma-aminobutyric acid, and DA, which play central roles in regulating mood, attention, learning, and EF. The fermentation of dietary fibers by gut microbes also produces short-chain fatty acids, such as acetate, propionate, and butyrate, which support cognitive resilience by enhancing blood-brain barrier integrity, modulating neurotrophic factor expression, and regulating microglial activation[81]. Additionally, microbiota composition influences hypothalamic-pituitary-adrenal (HPA) axis activity, shaping stress responsiveness, cortisol regulation, and emotional reactivity, thereby indirectly affecting attention, memory, and executive functioning (Figure 4)[82].

Figure 4 Modulation of diet-microbiota-brain pathways: Supporting cognitive functions in school-age children. Dietary patterns modulate gut microbiota composition and diversity, influencing mechanistic pathways, including neurotransmitter synthesis, short-chain fatty acid signaling, neuroinflammation, and hypothalamic-pituitary-adrenal-axis regulation – which in turn shape key cognitive domains such as attention, working memory, executive function, learning, and behavioral regulation. High-fiber, prebiotic-rich, and Mediterranean-style diets, along with probiotics or psychobiotics, promote beneficial microbial populations and enhance cognitive resilience, whereas diets high in refined sugars or saturated fats may reduce diversity and impair cognitive performance. Arrows indicate directional influence, while bidirectional interactions between microbiota and mechanistic pathways reflect dynamic feedback in the gut-brain axis. This integrative model emphasizes diet as a modifiable lever for cognitive enhancement during the school-age developmental window. DA: Dopamine; HPA: Hypothalamic-pituitary-adrenal; SCFA: Short-chain fatty acid; 5-HT: 5-hydroxytryptamine.

Dietary patterns and intervention implications

Dietary modulation of the gut-brain axis represents a practical avenue for cognitive enhancement. Interventions that increase fiber intake, incorporate prebiotic-rich foods (e.g., legumes, whole grains, fruits), and selectively supplement probiotics have shown promise in improving attention, working memory, and behavior in both healthy and vulnerable children. Evidence also suggests that whole-diet approaches – such as Mediterranean-style dietary patterns – may provide synergistic benefits by simultaneously supporting microbiota diversity, reducing neuroinflammation, and enhancing neurochemical function[83,84].

Translational relevance

Integrating microbiome-focused nutrition with broader cognitive optimization strategies aligns with the multi-domain framework outlined in earlier sections. Clinicians and educators can leverage dietary guidance, targeted supplementation, and lifestyle interventions to modulate gut-brain interactions, particularly in children with suboptimal nutrition, attention-deficit/hyperactivity disorder (ADHD), learning difficulties, or socioemotional stressors. Future research should prioritize longitudinal and interventional studies to establish causality, define optimal psychobiotic strains, and develop individualized dietary strategies that enhance cognitive outcomes during the school-age window[85,86].

PHYSICAL ACTIVITY, SLEEP, AND NEUROCOGNITIVE OPTIMIZATION

Physical activity and sleep represent two interdependent, highly modifiable lifestyle pillars with profound effects on neurocognitive development during the school-age years. Accumulating evidence from neuroscience, exercise physiology, and educational research demonstrates that regular physical activity, particularly when embedded within structured school environments, enhances EF, academic performance, and emotional regulation[87]. These benefits are mediated through activity-induced neuroplasticity, improved cerebral perfusion, and modulation of neurotrophic and inflammatory pathways. The following subsection focuses on the role of physical activity in shaping executive cognitive processes, with attention to both exercise modality and real-world implementation (Figure 5)[88].

Figure 5 Physical activity and executive function in school-age children. BDNF: Brain-derived neurotrophic factor; IGF-1: Insulin-like growth factor-1.

Physical activity and EF

EFs, including inhibitory control, cognitive flexibility, and working memory, are among the most consistently enhanced cognitive domains in school-age children through physical activity. Exercise exerts its effects through multiple converging mechanisms, including increased cerebral blood flow, upregulation of brain-derived neurotrophic factors, enhanced synaptic efficiency within frontoparietal networks, and reduced neuroinflammation. Importantly, the magnitude and specificity of cognitive benefits appear to vary with exercise type, intensity, and delivery context (Table 5)[89].

Table 5 Effects of exercise modalities on executive and cognitive functions in school-age children.

Exercise type	Primary neurobiological and cognitive mechanisms	Executive/cognitive domains affected	Representative intervention examples
Aerobic exercise (moderate-vigorous)	Increased cerebral blood flow; increased brain-derived neurotrophic factors and IGF-1; enhanced hippocampal and prefrontal plasticity; improved insulin sensitivity	Attention regulation, inhibitory control, processing speed, working memory	Daily running or cycling programs; structured physical education classes; aerobics, classroom activity breaks
Coordinative/skill-based exercise	Concurrent motor-cognitive engagement; frontoparietal network activation; enhanced sensorimotor integration	Cognitive flexibility; working memory; task switching; planning	Dance programs, martial arts, and ball games require strategy and rule switching
Cognitively enriched physical activity	Dual-task processing; executive load during movement; increased prefrontal cortex activation	Executive control; divided attention; metacognitive regulation	Movement-integrated academic lessons; physically active problem-solving games
Team sports	Social cognition engagement; goal-directed behavior; emotional regulation; reward-system modulation	Cognitive flexibility; self-regulation; decision-making; attentional control	Soccer, basketball, and handball programs emphasizing rules and teamwork
Resistance/strength training	Hormonal modulation (IGF-1); neuromuscular efficiency; stress regulation	Inhibitory control, attention, and working memory (moderate evidence)	Age-appropriate resistance circuits; body-weight training in school settings
Mind-body movement (e.g., yoga, tai chi)	Autonomic regulation; reduced cortisol; enhanced interoceptive awareness; prefrontal-limbic balance	Sustained attention; inhibitory control; emotional self-regulation	School-based yoga programs; mindfulness-movement sessions
High-intensity interval activity (child-adapted)	Rapid neurotrophic signaling; arousal modulation; catecholamine release	Processing speed, attention, and cognitive alertness	Short-burst activity circuits; interval-based playground games

IGF-1: Insulin-like growth factor-1.

Aerobic vs coordinative exercise: Aerobic exercise (e.g., running, cycling, swimming) has been robustly associated with improvements in attention, processing speed, and inhibitory control, particularly when performed at moderate-to-vigorous intensity. RCTs and longitudinal studies demonstrate that regular aerobic activity increases hippocampal volume, enhances PFC activation, and improves task-related executive performance. These effects are especially pronounced in children with lower baseline fitness levels or EF deficits[90].

In contrast, coordinative and cognitively engaging exercises – such as dance, martial arts, ball sports, and team-based games – appear to confer additional benefits for cognitive flexibility and working memory. These activities place simultaneous demands on motor planning, visuospatial processing, and rule-switching, thereby directly engaging executive control systems. Emerging evidence suggests that coordinative exercise may yield executive-function gains equal to or superior to those of aerobic exercise alone, particularly when cognitive complexity is emphasized[91]. Tao et al[92] showed that coordination-based activities produced the greatest improvements in EF, showing the highest effect size (Cohen’s d = 0.89), while aerobic exercise (d = 0.76) and team sports (d = 0.72) also yielded substantial benefits. Enhancements in motor competence were strongly linked to gains in EF, with correlations ranging from r = 0.58-0.72.

School-based and extracurricular interventions: School-based physical activity interventions represent a scalable and equitable strategy for cognitive enhancement. Programs incorporating daily physical education, active classroom breaks, or movement-integrated learning have demonstrated improvements in EF, on-task behavior, and academic achievement, without compromising instructional time. Notably, interventions that integrate cognitively demanding movements (e.g., task-switching games, dual-task activities) appear particularly effective[93].

Extracurricular physical activity – such as organized sports or structured after-school programs – further contributes to executive-function development by combining physical exertion with social interaction, goal-setting, and self-regulation. These benefits are especially relevant for children with ADHD or executive-function vulnerabilities, where physical activity may serve as a complementary non-pharmacological intervention[94].

Sleep quantity, quality, and cognitive outcomes

Sleep is a fundamental biological process supporting brain maturation, learning, and cognitive efficiency during the school-age years. Adequate sleep quantity and high-quality sleep architecture are essential for synaptic plasticity, memory consolidation, and executive functioning. During middle childhood, when academic and psychosocial demands intensify, sleep increasingly interacts with cognitive performance, emotional regulation, and school achievement. Importantly, sleep is a highly modifiable determinant, yet it is frequently compromised in modern childhood (Figure 6 and Table 6)[95]. Meta-analytic evidence suggests that children who sleep less than 8 hours per night demonstrate significantly lower EF performance, with effect sizes ranging from d = 0.3-0.5[96].

Figure 6 Sleep architecture and cognitive outcomes in school-age children. It illustrates the relationship between key sleep parameters and cognitive outcomes in school-age children through underlying neurobiological mechanisms. Adequate sleep duration preserves slow-wave sleep (non-rapid eye movement), sufficient rapid eye movement sleep, and stable circadian alignment, supporting synaptic plasticity, hippocampal-cortical memory consolidation, and neuroendocrine regulation. These processes facilitate optimal functioning of executive domains, including attention, working memory, cognitive flexibility, emotional regulation, and learning retention. Disruption of sleep quantity, quality, or circadian timing may impair these neurobiological pathways, leading to suboptimal executive control and academic performance. The model emphasizes sleep as a modifiable, non-pharmacological target for optimizing neurocognitive development during the school years. NREM: Non-rapid eye movement; REM: Rapid eye movement.

Table 6 Sleep parameters, neurobiological mechanisms, and cognitive outcomes in school-age children.

Sleep parameter	Key neurobiological mechanisms	Cognitive/executive domains affected	Representative interventions
Total sleep duration	Synaptic homeostasis; energy restoration; prefrontal cortex efficiency	Attention, working memory, processing speed, and inhibitory control	Age-appropriate sleep schedules; parent-guided bedtime routines
Sleep quality (continuity, fragmentation)	Stable neural oscillations; efficient hippocampal-cortical communication	Learning efficiency, executive control, sustained attention	Sleep hygiene education: Reducing nighttime awakenings
Slow-wave sleep (non-rapid eye movement stage 3)	Memory consolidation; synaptic downscaling; cortical plasticity	Declarative memory, learning retention, executive integration	Consistent sleep timing; minimizing evening arousal and caffeine
Rapid eye movement sleep	Emotional memory processing; procedural learning; cognitive flexibility	Cognitive flexibility, emotional regulation, and problem-solving	Regular sleep-wake cycles; limiting screen exposure before bedtime
Sleep timing/circadian alignment	Synchronization of circadian clocks; optimal melatonin signaling	Attention, academic performance, and executive efficiency	Fixed wake times, morning light exposure, and delayed evening screen use
Sleep regularity (weekday-weekend consistency)	Circadian rhythm stability; neuroendocrine regulation	Sustained attention; behavioral regulation; metacognition	Consistent bedtimes; limiting “social jet lag”
Sleep hygiene behaviors	Reduced cognitive arousal, autonomic balance, and stress modulation	Executive control; emotional regulation; learning readiness	Screen-free bedtime routines; calming pre-sleep activities
Sleep disruption (chronic deprivation)	Prefrontal hypoactivation; increased cortisol; neuroinflammation	Inhibitory control deficits, impulsivity, and attention lapses	Behavioral sleep interventions; school-based sleep education

Sleep architecture and learning consolidation: Normal sleep architecture – characterized by cyclic transitions between non-rapid eye movement (REM) and REM sleep – plays a critical role in cognitive processing. Slow-wave sleep (SWS), which predominates in non-REM stages, is particularly important for declarative memory consolidation, synaptic downscaling, and the restoration of neural efficiency. During SWS, hippocampal-neocortical dialogue facilitates the transfer of newly acquired information into long-term memory stores, directly supporting learning and academic performance[97].

REM sleep, in contrast, contributes to procedural learning, emotional memory processing, and cognitive flexibility, and is implicated in the integration of complex information. Experimental and observational studies in school-age children demonstrate that both sleep duration and sleep-stage continuity predict performance in attention, working memory, and problem-solving tasks. Children with more stable sleep architecture exhibit superior EF performance, particularly on tasks requiring sustained attention and cognitive control[98].

Emerging evidence also suggests that sleep supports metacognitive processes, including insight generation and the use of adaptive learning strategies. These higher-order functions are increasingly recognized as essential for academic success and lifelong learning, reinforcing sleep’s role beyond basic memory consolidation[99].

Impact of sleep deprivation and circadian misalignment: Chronic sleep deprivation, whether due to insufficient duration, fragmented sleep, or poor sleep hygiene, has consistently been associated with impairments in attention, EF, processing speed, and emotional regulation. Neuroimaging studies reveal that sleep restriction disproportionately affects PFC activity, leading to reduced inhibitory control, increased impulsivity, and diminished cognitive flexibility. These effects are particularly salient in school-age children, whose executive systems are still maturing[100].

Circadian misalignment, often driven by irregular sleep schedules, excessive evening screen exposure, and early school start times, further exacerbates cognitive vulnerability. Misalignment between endogenous circadian rhythms and externally imposed schedules disrupts sleep onset, reduces SWS, and impairs next-day cognitive performance. Longitudinal studies link chronic circadian disruption to poorer academic achievement, behavioral difficulties, and increased risk of attention problems[101].

Importantly, children with neurodevelopmental conditions – such as ADHD or learning difficulties – appear especially sensitive to sleep disruption, with bidirectional interactions between sleep problems and cognitive dysfunction. Intervention studies indicate that improving sleep duration, consistency, and quality can yield measurable gains in attention, EF, and classroom behavior, underscoring sleep’s potential as a low-cost, non-pharmacological cognitive intervention[102].

PSYCHOSOCIAL AND ENVIRONMENTAL INFLUENCES

Psychosocial and environmental contexts constitute powerful determinants of cognitive development during the school-age years, shaping not only academic achievement but also executive functioning, self-regulation, and adaptive learning. Beyond biological substrates, children’s cognitive trajectories are profoundly influenced by the quality of caregiving, linguistic input, and the cognitive richness of their home environments. These influences operate through sustained interactions with developing neural systems, particularly those supporting language, executive control, and socio-cognitive integration. Among these factors, parenting style, home cognitive stimulation, and language exposure represent highly modifiable levers for cognitive optimization (Table 7)[103].

Table 7 Psychosocial factors, mechanisms, cognitive domains, and intervention strategies in school-age children.

Psychosocial factor	Underlying mechanisms	Cognitive/executive domains affected	Evidence-based intervention strategies
Parental responsiveness	Stress buffering (reduce cortisol); prefrontal-limbic regulation; enhanced attentional engagement	Attention regulation, working memory, and emotional self-regulation	Parenting-skills training; responsive caregiving coaching; positive parenting programs
Parent-child verbal interaction	Language network activation; synaptic enrichment; vocabulary expansion	Language skills, verbal working memory, comprehension	Daily parent-child conversation; dialogic interaction training
Shared reading	Narrative processing; inferential reasoning; executive engagement	Language development, sustained attention, and metacognition	Dialogic reading programs; structured home reading routines
Cognitive scaffolding	Guided problem-solving; executive skill internalization	Planning, inhibitory control, cognitive flexibility	Parent coaching in scaffolding techniques; guided learning activities
Home cognitive stimulation	Experience-dependent neuroplasticity; enriched learning exposure	General intelligence; executive function; academic achievement	Home-based enrichment programs; access to books and educational materials
Emotional warmth and support	Secure attachment; autonomic regulation; stress resilience	Executive control; emotional regulation; learning readiness	Attachment-based parenting interventions; family support services
Consistency and structure	Predictability; habit formation; executive stability	Attention; self-regulation; task persistence	Establishing routines; structured home schedules
Reduced cognitive stressors	Lower chronic stress; improved neural efficiency	Working memory; processing speed	Family stress-reduction programs; psychosocial support

Parenting style, home cognitive stimulation, and language exposure

Parenting style and caregiver-child interactions play a foundational role in shaping cognitive and executive development throughout childhood. Responsive, supportive, and cognitively engaged parenting fosters an environment that promotes exploration, learning, and self-regulation, whereas inconsistent or emotionally disengaged caregiving may constrain cognitive growth. Evidence from developmental psychology and neuroscience indicates that the quality of everyday interactions – rather than formal instruction alone – critically shapes intellectual outcomes[104].

Parental responsiveness: Parental responsiveness, defined by timely, sensitive, and contingent responses to a child’s cues, supports the development of attention regulation, working memory, and emotional control. Responsive caregiving buffers stress-related neuroendocrine activation and promotes adaptive functioning of prefrontal-limbic circuits. Longitudinal studies demonstrate that children raised in responsive caregiving environments exhibit superior executive-function performance, greater cognitive flexibility, and more sustained attentional engagement during the school years[105].

Shared reading and language-rich interactions: Shared reading and dialogic language interactions represent potent drivers of both crystallized intelligence and executive processes. Regular exposure to rich vocabulary, narrative structure, and inferential dialogue enhances language comprehension, verbal working memory, and metacognitive awareness. Neuroimaging studies have linked shared reading to increased activation and connectivity within language-related cortical regions, including the left temporoparietal and prefrontal networks[106].

Importantly, the benefits of shared reading extend beyond language acquisition, supporting executive skills such as sustained attention, cognitive sequencing, and perspective-taking. These effects are amplified when caregivers engage children through open-ended questions, prediction, and elaboration, rather than passive reading alone[107].

Cognitive scaffolding and guided learning: Cognitive scaffolding refers to the strategic support provided by caregivers to help children solve problems, regulate behavior, and internalize learning strategies. Effective scaffolding balances guidance with autonomy, allowing children to progressively assume greater cognitive control. This process is central to the development of EFs, including planning, inhibitory control, and metacognitive monitoring[108].

Experimental and observational studies indicate that scaffolding-rich home environments are associated with stronger executive functioning and academic achievement, particularly in children facing socioeconomic or learning-related challenges. Interventions that coach parents in scaffolding techniques have demonstrated measurable improvements in children’s problem-solving skills and self-regulated learning (SRL)[109,110].

Stress, adversity, and cognitive load

Exposure to chronic stress and adversity during childhood exerts profound effects on cognitive development, particularly during the school-age years when executive systems are undergoing active maturation. While transient stress can facilitate adaptive learning, toxic stress – defined as prolonged activation of stress-response systems in the absence of adequate buffering – disrupts neurodevelopmental processes and compromises cognitive efficiency. The cumulative burden of stress-related physiological dysregulation, conceptualized as allostatic load, represents a critical pathway through which psychosocial adversity shapes long-term cognitive outcomes, as shown in Table 8[111].

Table 8 Stress, biological pathways, cognitive impact, and resilience-building interventions in children.

Stressor	Biological mechanism	Cognitive impact	Resilience intervention
Chronic psychosocial stress (toxic stress)	Sustained hypothalamic-pituitary-adrenal-axis activation; cortisol dysregulation; impaired glucocorticoid receptor signaling	Reduced executive function, impaired attention regulation, diminished working memory	Trauma-informed care; caregiver buffering; stable routines
Early life adversity (poverty, neglect, family instability)	Elevated allostatic load; altered prefrontal-limbic connectivity; reduced synaptic plasticity	Slower processing speed; impaired cognitive flexibility; academic underachievement	Parenting support programs; early childhood enrichment; social services integration
Exposure to violence or unsafe environments	Hyperactivation of amygdala; disrupted fronto-limbic circuitry; threat-biased attentional networks	Increased distractibility; impaired inhibitory control; emotional dysregulation	Safe school initiatives; mentoring programs; community-based interventions
Chronic academic pressure and performance stress	Sympathetic overactivation; reduced prefrontal efficiency; increased cognitive load	Decreased working memory capacity; attentional fatigue; reduced problem-solving efficiency	Mindfulness-based stress reduction; workload restructuring; metacognitive training
Sleep disruption secondary to stress	Altered cortisol circadian rhythm; impaired hippocampal memory consolidation	Learning deficits, impaired memory retention, and reduced executive control	Sleep hygiene education, consistent bedtime routines, and stress-management interventions
Parental mental health stress	Indirect hypothalamic-pituitary-adrenal-axis dysregulation via reduced caregiver responsiveness	Language delays, reduced executive scaffolding, and socio-cognitive difficulties	Parental mental health support; responsive caregiving interventions
Social deprivation or peer rejection	Dysregulated oxytocin-cortisol interaction; altered social brain networks	Impaired social cognition; reduced motivation and attention	Peer-support programs; social-emotional learning curricula

Toxic stress, cortisol dysregulation, and allostatic load: Toxic stress results in sustained activation of the HPA axis, leading to chronic cortisol dysregulation. Elevated or blunted cortisol rhythms adversely affect brain regions central to cognition, including the PFC, hippocampus, and amygdala. Neuroimaging and longitudinal studies demonstrate that prolonged stress exposure is associated with reduced prefrontal cortical thickness, altered fronto-limbic connectivity, and impaired synaptic plasticity, all of which undermine EF and learning capacity[112].

From a cognitive perspective, stress-related neuroendocrine alterations increase cognitive load, diverting neural resources away from higher-order processing toward threat monitoring and emotional regulation. This shift manifests behaviorally as deficits in attention, working memory, inhibitory control, and cognitive flexibility. Children exposed to chronic adversity – such as socioeconomic hardship, family instability, or community violence – often display academic underachievement and reduced executive-function performance, even in the absence of overt neurodevelopmental disorders[113].

The concept of allostatic load integrates these biological and cognitive consequences, capturing the cumulative wear and tear imposed by repeated stress adaptation. High allostatic load during childhood has been linked to persistent cognitive inefficiencies, increased vulnerability to mental health disorders, and diminished educational attainment, underscoring the importance of early identification and intervention[114].

Protective factors and resilience-building interventions: Despite the adverse effects of chronic stress, substantial heterogeneity exists in cognitive outcomes, highlighting the role of protective factors and resilience. Supportive caregiving, emotional security, and stable routines serve as powerful buffers against stress-induced cognitive impairment by modulating HPA-axis reactivity and promoting adaptive neural development. Positive school climates, peer support, and access to safe, enriching environments further enhance resilience by reducing cognitive load and supporting executive control[115].

Intervention studies demonstrate that resilience-building strategies can partially reverse or mitigate stress-related cognitive deficits. Mindfulness-based programs, social-emotional learning curricula, and trauma-informed educational approaches have been shown to improve attention, emotional regulation, and executive functioning in stress-exposed children. Similarly, parenting interventions that enhance responsiveness and emotional attunement reduce cortisol dysregulation and support cognitive recovery[116].

At a systems level, integrating mental health support, educational enrichment, and social services represents a critical strategy for reducing allostatic load and promoting cognitive equity. Such multi-layered interventions align with developmental systems theory and reinforce the principle that cognitive optimization requires addressing both environmental risk and protective resources. Collectively, these findings position stress reduction and resilience promotion as essential components of evidence-based strategies to enhance cognitive function during the school-age years[117].

Socioeconomic determinants and inequality

Socioeconomic status (SES) is a robust and independent predictor of cognitive development across childhood, exerting its influence through intertwined biological, environmental, and psychosocial pathways. Children growing up in socioeconomically disadvantaged settings are disproportionately exposed to cumulative risk factors – including material deprivation, reduced cognitive stimulation, environmental stressors, and limited access to high-quality education and healthcare – that collectively shape neurodevelopmental trajectories (Figure 7)[118,119].

Figure 7 Socioeconomic determinants of cognitive development within an integrative neurodevelopmental framework. It illustrates how socioeconomic status shapes cognitive development through interconnected biological, environmental, and psychosocial pathways. Socioeconomic disadvantage – characterized by limited cognitive stimulation, chronic stress and adversity, suboptimal nutrition and sleep, and increased environmental exposures – acts on key neurobiological mechanisms, including cortisol dysregulation, elevated allostatic load, altered synaptic plasticity, and reduced hippocampal and prefrontal cortex functioning. These processes collectively contribute to impairments across multiple cognitive domains, such as language development, executive function, processing speed, and academic achievement. The lower panel highlights evidence-based compensatory interventions, including early childhood education programs, parenting support initiatives, nutritional supplementation, school-based enrichment, and social protection policies, which can buffer adverse effects and promote cognitive resilience. It situates socioeconomic status as a central upstream determinant interacting with nutritional, neurobiological, behavioral, and environmental factors across development.

At the biological level, chronic socioeconomic adversity is associated with heightened allostatic load, dysregulated HPA axis activity, and suggestive alterations in brain regions subserving executive control, language, and memory, particularly the PFC and hippocampus. Nutritional insecurity, suboptimal sleep, and increased exposure to environmental toxins further compound these effects, undermining synaptic plasticity and neural efficiency during sensitive developmental periods[120].

From an environmental and cognitive perspective, lower SES is often associated with reduced language exposure, fewer cognitively enriching experiences, and fewer opportunities for guided learning and exploratory play. These factors contribute to observable disparities in vocabulary acquisition, executive functioning, processing speed, and academic achievement that may emerge early and widen over time if unaddressed[121].

Importantly, a growing body of evidence demonstrates that SES-related cognitive disparities are modifiable. Compensatory interventions – including high-quality early childhood education programs, parenting and home-visiting interventions, nutritional supplementation, school-based enrichment, and conditional cash transfer or social protection programs – have shown measurable benefits for cognitive and academic outcomes. Interventions that combine educational enrichment with caregiver support and stress reduction appear particularly effective, underscoring the need for multisectoral strategies[122,123]. A meta-analysis by Lawson et al[124] indicates a small-to-medium, consistent positive correlation between higher SES and better cognitive function in children, particularly in language, EF, and memory. SES disparities in IQ can triple from infancy to age 16, with significant differences in brain structure and function linked to early environmental stimulation.

Collectively, these findings emphasize that socioeconomic disadvantage does not deterministically constrain cognitive potential. Rather, targeted, developmentally informed interventions can mitigate risk, enhance cognitive reserve, and promote showing that early and sustained investment in children yields long-term neurocognitive and societal benefits[125].

EDUCATIONAL AND COGNITIVE TRAINING INTERVENTIONS

EF-based curricula

EFs – including working memory, inhibitory control, and cognitive flexibility – represent core neurocognitive processes underpinning goal-directed behavior, self-regulation, and academic learning. Given their protracted developmental trajectory and sensitivity to environmental input, EFs have emerged as prime targets for educational and cognitive training interventions, particularly in children exposed to early adversity or neurodevelopmental risk (Table 9)[18].

Table 9 Executive function domains, training approaches, outcomes, evidence strength, and implementation contexts.

Executive function domain	Training approach	Observed outcomes	Strength of evidence	Clinical implementation	Educational implementation
Working memory	Computerized training programs; curriculum-embedded memory scaffolding; adaptive rehearsal tasks	Reliable improvements in trained and closely related working memory tasks (near transfer); inconsistent effects on reading, mathematics, and global academic achievement (far transfer)	Moderate for near transfer. Low-moderate for far transfer	Individualized or small-group cognitive training (e.g., attention-deficit/hyperactivity disorder, learning disorders)	Classroom scaffolding and curriculum-integrated strategies preferred
Inhibitory control	Classroom-based self-regulation curricula; rule-based games; mindfulness-informed practices; behavioral self-monitoring	Improved attention regulation, classroom behavior, and task persistence; modest gains in early academic skills	Moderate for behavioral outcomes. Low-moderate for academic transfer	Behavioral therapy and emotion regulation programs	Whole-class social-emotional learning and self-regulation curricula
Cognitive flexibility	Problem-based learning; task-switching activities; metacognitive reflection; exposure to novelty and ambiguity	Enhanced adaptive strategy use and task switching; limited direct academic transfer	Low-moderate, limited randomized controlled trials	Cognitive remediation, executive coaching	Inquiry-based and project-based learning
Multi-component EF training	Integrated curricula targeting multiple EF domains within academic content; teacher-guided scaffolding; enriched learning environments	Broader, more durable EF gains; improved engagement and selected academic outcomes	Moderate-high, strongest for embedded interventions	Adjunctive support for at-risk children	Preferred universal or targeted school-based approach
Play-based EF interventions (early childhood)	Structured play, pretend play, and social interaction-based EF challenges	Improved self-regulation, social cognition, and learning readiness	Moderate, strongest in preschool years	Developmental therapy settings	Early childhood and preschool curricula

Across domains, interventions embedded within meaningful educational and social contexts consistently outperform isolated cognitive training in producing far-transfer effects. Evidence strength increases when outcomes include behavioral, classroom-based, and longitudinal measures rather than task-specific cognitive tests alone. EF: Executive function.

Working memory-focused interventions aim to enhance the capacity to temporarily store and manipulate information, a skill critical for language comprehension, mathematical reasoning, and complex problem solving. Curriculum-integrated approaches that embed working memory demands within classroom activities – such as scaffolded instruction, stepwise task decomposition, and guided rehearsal – demonstrate greater ecological validity than isolated computerized training. While near-transfer effects on working memory performance are consistently reported, far-transfer effects to academic achievement appear more robust when training is embedded within meaningful learning contexts[126].

Inhibitory control training targets the ability to suppress prepotent or distracting responses in favor of goal-relevant actions. Classroom-based curricula emphasizing rule switching, delay of gratification, and attention regulation – often delivered through structured play, mindfulness-informed practices, and behavioral self-monitoring – have shown improvements in attentional control, classroom behavior, and early literacy outcomes. These interventions may be particularly beneficial in populations with heightened impulsiveness or stress-related dysregulation[127,128].

Cognitive flexibility interventions focus on enhancing the capacity to shift between mental sets, perspectives, or task demands. Educational programs incorporating problem-based learning, metacognitive reflection, and exposure to novel or ambiguous tasks support the development of flexible thinking and adaptive learning strategies. Evidence suggests that gains in cognitive flexibility may facilitate broader academic resilience by enabling children to adjust strategies in response to feedback and changing task demands[129].

Importantly, the most effective EF-based curricula adopt integrative and developmentally sensitive approaches, targeting multiple EF components simultaneously and aligning cognitive demands with children’s maturational stage. Interventions delivered within enriched, emotionally supportive learning environments appear to yield the strongest and most durable benefits, reinforcing the view that EF development is shaped by the interaction between cognitive training and contextual support[130].

Transfer effects and limitations of EF-based interventions

Despite growing enthusiasm for EF-based curricula, evidence for their generalizability beyond trained tasks remains mixed. Near-transfer effects, defined as improvements on tasks closely resembling training activities, are consistently observed across interventions targeting working memory, inhibitory control, and cognitive flexibility. However, far-transfer effects, including durable gains in academic achievement, real-world problem-solving, and global cognitive ability, are substantially more variable and often modest in magnitude[131,132].

One key limitation lies in the task-specific nature of many EF training programs, particularly computerized working memory interventions, which may promote strategy optimization rather than true capacity enhancement. Improvements frequently fail to generalize to untrained EF domains or academic outcomes, raising concerns about construct validity and ecological relevance. Moreover, training effects often diminish over time in the absence of reinforcement, highlighting the challenges of long-term maintenance[133]. Methodological heterogeneity further complicates interpretation. Studies vary widely in intervention intensity, duration, outcome measures, and control conditions, with many relying on passive or weakly matched controls. Publication bias toward positive findings and underreporting of null results may inflate perceived efficacy. Additionally, outcome measures frequently overlap with training tasks, artificially enhancing estimates of transfer.

Contextual and individual factors also moderate the efficacy of interventions. Baseline cognitive capacity, age, stress exposure, and socioeconomic context influence responsiveness to EF training, with children facing cumulative adversity often showing smaller direct cognitive gains but greater behavioral or self-regulatory benefits. This underscores the importance of interpreting null academic transfer effects cautiously, particularly in high-risk populations where broader psychosocial constraints may limit observable gains[121].

Emerging evidence suggests that embedded and contextually integrated EF interventions – such as curricula combining cognitive training with academic content, teacher scaffolding, and emotional support – yield more reliable far-transfer effects than isolated skill training. These findings support a shift away from domain-pure training toward ecologically grounded, multi-component approaches[134]. In summary, while EF-based interventions reliably enhance targeted cognitive processes, their broader impact depends on intervention design, developmental timing, contextual embedding, and the targeted outcome. Future research should prioritize long-term follow-up, standardized outcome frameworks, and mechanistically informed designs to clarify when and for whom EF training produces meaningful, generalizable benefits.

Cognitive training and brain games

Computerized cognitive training programs and commercially available “brain games” have gained widespread popularity as tools to enhance children’s cognitive performance. These interventions typically target discrete cognitive processes, most commonly working memory, attention, processing speed, or inhibitory control, through repetitive, adaptive tasks delivered in game-like formats. While such approaches are attractive due to their scalability and ease of implementation, their developmental and educational impact remains a subject of ongoing debate[135].

Evidence from RCTs indicates that cognitive training and brain games reliably produce improvements on trained tasks and closely related measures, demonstrating robust near-transfer effects. Gains are most consistently observed in working memory capacity, attentional control, and task-specific processing efficiency. These effects are often dose-dependent and more pronounced in children with lower baseline cognitive performance or neurodevelopmental vulnerabilities, such as attention-deficit/hyperactivity disorder or learning difficulties[136,137].

However, evidence for far-transfer effects – including sustained improvements in academic achievement, general intelligence, or everyday functional outcomes – is limited and inconsistent. Meta-analyses suggest that observed benefits rarely generalize beyond the trained cognitive domain and tend to diminish over time once training ceases. These findings challenge claims that brain games alone can meaningfully enhance broad cognitive or educational outcomes[138]. Several methodological and conceptual limitations contribute to these mixed results. Many studies rely on outcome measures that closely resemble training tasks, inflating estimates of efficacy. Active control conditions are inconsistently employed, making it difficult to disentangle true cognitive change from expectancy or engagement effects. Furthermore, repeated task exposure may promote strategy learning rather than structural enhancement of underlying cognitive capacity[139].

From a neurodevelopmental perspective, isolated cognitive training may be insufficient to address the complex, context-dependent nature of learning. Cognitive processes trained in artificial digital environments do not always transfer to real-world academic tasks that require motivation, emotional regulation, and integration across multiple cognitive systems. Accordingly, interventions lacking meaningful contextual embedding are less likely to produce durable, functionally relevant gains[140].

Emerging evidence supports a hybrid approach, in which cognitive training tools are integrated within broader educational or therapeutic frameworks. When combined with teacher-guided instruction, metacognitive strategies, or academic content, cognitive training may act as a catalyst rather than a standalone solution. Such integrative models appear more likely to support generalization and long-term impact. In summary, cognitive training and brain games can enhance specific cognitive skills under controlled conditions, but their effectiveness as independent interventions for improving academic or global cognitive outcomes is limited. Their optimal role lies in adjunctive use, complementing educational, behavioral, and psychosocial interventions within developmentally informed contexts (Table 10)[141,142].

Table 10 Cognitive training and brain games: Evidence, transfer effects, and recommended use.

Training type	Evidence base	Transfer effects	Recommended use
Computerized working memory training	Multiple randomized controlled trials and meta-analyses demonstrate consistent improvements on trained tasks	Strong near transfer; weak and inconsistent far transfer to academic outcomes	Adjunctive use in clinical populations (e.g., attention-deficit/hyperactivity disorder); not recommended as a standalone educational intervention
Attention and processing speed games	Moderate evidence for task-specific gains; variable methodological quality	Near transfer common; limited generalization to classroom performance	Supplementary tool to support attentional engagement alongside structured instruction
Commercial “brain game” platforms	Heterogeneous evidence; limited independent validation	Predominantly near transfer; minimal evidence for durable far transfer	Use cautiously; appropriate for engagement and motivation, not cognitive remediation
Multidomain cognitive training programs	Emerging evidence suggests broader cognitive engagement	Modest transfer when integrated with educational content	Best implemented within hybrid educational or therapeutic frameworks
Game-based training integrated into curricula	Growing support from school-based trials	Improved classroom engagement; selective academic transfer	Preferred educational model, especially when teacher-guided
Clinician-guided cognitive remediation	Stronger evidence in neurodevelopmental and clinical populations	Functional improvements are more likely with individualized targets	Clinical settings for targeted cognitive deficits, combined with behavioral support

Cognitive training and brain games are most effective when embedded within broader educational or clinical ecosystems. Isolated use yields limited generalization, whereas integrative, contextually grounded approaches increase the likelihood of meaningful and sustained impact.

Metacognition and SRL

Metacognition and SRL refer to the capacity to monitor, control, and adapt one’s own cognitive processes during learning. Unlike domain-specific cognitive training, metacognitive interventions focus on teaching children how to learn, enabling them to plan, evaluate, and modify strategies across tasks and contexts. These skills represent higher-order EFs that integrate cognitive control, motivation, and emotional regulation, making them particularly powerful targets for educational intervention[143].

Metacognitive instruction typically emphasizes explicit instruction in strategies, including goal setting, planning, self-monitoring, error detection, and reflective evaluation. Children are taught to ask questions such as What is the task? Which strategy should I use? Did this approach work? Such approaches foster active engagement with learning materials and promote the selection of adaptive strategies rather than rote performance. Importantly, metacognitive skills can be taught across academic domains, including reading comprehension, mathematics, and problem solving, supporting broad generalization[144].

SRL frameworks extend metacognition by incorporating motivational and behavioral components, such as persistence, effort regulation, and help-seeking. SRL interventions often use structured cycles of forethought, performance, and reflection, enabling learners to take increasing ownership of their learning processes. Classroom-based SRL programs that combine strategy instruction with teacher modeling and guided practice have demonstrated improvements in task persistence, academic engagement, and learning efficiency[145].

Evidence consistently indicates that metacognitive and SRL interventions produce robust far-transfer effects. Meta-analyses show moderate-to-large improvements in academic achievement, particularly in reading comprehension and mathematics, with benefits that persist beyond the intervention period. Unlike isolated cognitive training, gains in metacognitive competence are more likely to generalize across subjects and developmental stages, supporting long-term academic resilience[146].

From a neurocognitive perspective, metacognitive training strengthens top-down control systems involving the PFC and frontoparietal networks, enhancing the coordination of executive processes during complex learning. These effects may be especially valuable for children exposed to socioeconomic adversity or chronic stress, as metacognitive strategies can reduce cognitive load and compensate for environmental constraints[147]. Collectively, enhancing cognitive function in school-age children requires a multi-layered, developmentally informed approach. EF–based curricula reliably strengthen working memory, inhibitory control, and cognitive flexibility, particularly when integrated within classroom or clinical contexts, yet their far-transfer effects are limited when implemented in isolation[148]. Cognitive training and brain games provide engaging, task-specific gains with strong near-transfer, but generalization to academic and real-world outcomes remains inconsistent unless embedded within meaningful learning or therapeutic frameworks[149]. In contrast, metacognition and SRL interventions equip children with transferable strategies for “how to learn”, producing durable far-transfer effects across domains and supporting long-term academic resilience[150]. Together, these approaches illustrate a continuum from targeted cognitive enhancement to generalizable learning strategies, emphasizing that optimal cognitive and academic outcomes emerge when interventions combine skill-building, contextual embedding, and self-directed learning. This integrated perspective reinforces the importance of aligning educational and clinical strategies to maximize school-age cognitive potential[151].

DIGITAL TECHNOLOGY AND COGNITIVE DEVELOPMENT

Digital technology is increasingly pervasive in the lives of school-age children, creating both opportunities and challenges for cognitive development. While concerns about excessive screen time and passive media exposure have dominated public discourse, a nuanced view recognizes that technology-assisted learning tools can serve as powerful instruments to enhance attention, EFs, and domain-specific academic skills when appropriately designed and supervised[152].

Technology-assisted learning tools

Interactive educational software, gamified learning applications, and multimedia instructional platforms provide structured opportunities for skill acquisition across reading, mathematics, science, and problem-solving domains. Evidence suggests that active, goal-directed use of such tools, especially when combined with teacher guidance or parental scaffolding, can improve learning outcomes, motivation, and engagement. Mechanistically, these platforms may enhance working memory, attentional control, and problem-solving strategies by providing immediate feedback, adaptive difficulty levels, and multimodal content presentation[153].

Adaptive learning platforms and artificial intelligence-based personalization

Next-generation digital platforms leverage artificial intelligence (AI) and adaptive algorithms to tailor content to individual learners’ strengths, weaknesses, and pacing. By continuously monitoring performance and adjusting instructional challenges, these systems aim to optimize cognitive load, scaffold learning, and reinforce metacognitive strategies. Early evidence indicates potential benefits for both academic achievement and cognitive skill development, particularly when AI personalization complements, rather than replaces, human-led instruction (Figure 8)[154]. While AI-driven educational tools demonstrate impressive computational capabilities, current evidence supports a complementary rather than replacement role. AI excels in pattern recognition, adaptive content delivery, and real-time feedback. However, educators provide essential socio-emotional support, moral reasoning, motivational scaffolding, and contextual judgment that algorithms cannot replicate. The future of education is therefore likely to reflect a hybrid human-AI collaborative model, in which technology augments – but does not replace – the educator’s role[155].

Figure 8 Adaptive technology and cognitive development: A conceptual model. It illustrates the dynamic interactions between adaptive digital learning platforms, child engagement, and cognitive outcomes. Adaptive learning technology provides personalized content and interactive feedback, promoting active, engaged use through focused attention, problem-solving, and metacognitive strategies. Sustained engagement, in turn, drives cognitive development, including enhanced executive functions, academic skill gains, and metacognitive growth. Feedback loops indicate that improvements in cognitive outcomes reinforce engagement, while guided learning activities strengthen the connection between adaptive technology and engagement. This model highlights the potential for structured, goal-directed digital interventions to augment school-age cognitive development while emphasizing the importance of context, supervision, and purposeful instructional design.

Risks of excessive screen time vs cognitive enrichment

Despite their potential, digital tools carry risks when used excessively or in unstructured ways. Prolonged passive screen exposure is associated with reduced physical activity, disrupted sleep, and attentional fatigue, which, in turn, can indirectly impair cognitive development. Additionally, unmoderated access to non-educational content may contribute to cognitive overload and reduced executive engagement. These findings highlight the importance of distinguishing enriching, goal-directed digital experiences from passive, recreational screen use[156].

Evidence-based guidance for balanced digital exposure

Emerging recommendations emphasize quality, quantity, and context in children’s digital interactions. High-quality, cognitively engaging content delivered in moderate, supervised sessions supports learning without compromising sleep, physical activity, or social development. Integrating technology into existing classroom curricula or home-based guided learning, rather than replacing traditional instruction, maximizes cognitive benefits while minimizing risks. Pediatric and educational professionals are encouraged to promote structured screen use, adaptive tools, and reflective engagement, ensuring that digital technology acts as an enhancer rather than a detractor of cognitive development[157,158].

MINDFULNESS, SOCIAL-EMOTIONAL LEARNING, AND INTELLIGENCE

Cognitive development does not occur in isolation from emotional and social processes. Growing evidence from developmental neuroscience and educational psychology demonstrates that emotional regulation, social cognition, and executive control are deeply interwoven, collectively shaping intellectual functioning and academic success (Figure 9). Mindfulness and social-emotional learning (SEL) interventions have therefore emerged as complementary approaches to traditional cognitive and academic training, targeting foundational processes that support higher-order thinking[159].

Figure 9 Integrative model linking mindfulness, social–emotional learning, and executive functions in cognitive development. It depicts an integrative model linking mindfulness and social-emotional learning (SEL) to the development of executive functions and higher-order cognition. Mindfulness practices enhance attention regulation, self-monitoring, and emotional control by modulating prefrontal-limbic systems. SEL programs strengthen social cognition, empathy, and emotion understanding, which further support inhibitory control, cognitive flexibility, and goal-directed behavior. Bidirectional interactions between mindfulness and SEL reinforce adaptive self-regulation and stress resilience. These converging pathways promote improved learning engagement, academic performance, and long-term cognitive and psychosocial outcomes, with effects moderated by developmental stage and implementation context.

Emotional regulation and PFC development

Emotional regulation plays a central role in cognitive efficiency by modulating stress reactivity, attention allocation, and executive control. Neurodevelopmental studies indicate that the maturation of the PFC, particularly the dorsolateral and ventromedial regions, underpins both EFs and emotion regulation. Chronic stress and emotional dysregulation, common in children exposed to adversity, are associated with heightened limbic reactivity and reduced top-down PFC control, impairing working memory, inhibitory control, and flexible thinking. Interventions that strengthen emotional regulation may therefore indirectly enhance cognitive performance by restoring functional balance within fronto-limbic networks[160,161].

Mindfulness-based interventions in schools

School-based mindfulness interventions typically involve age-appropriate practices such as focused attention, breathing exercises, body awareness, and reflective observation of thoughts and emotions. RCTs and meta-analyses suggest that mindfulness supports emotional awareness in children and adolescents. Cognitive benefits are most consistently observed in executive attention, inhibitory control, and working memory, particularly when interventions are delivered regularly and integrated into the school curriculum. Importantly, mindfulness appears to support learning not by increasing cognitive capacity per se, but by reducing cognitive interference from stress, emotional reactivity, and attentional distraction[162,163].

SEL, empathy, and higher-order cognition

SEL programs focus on developing skills such as self-awareness, self-management, social awareness, empathy, relationship skills, and responsible decision-making. These competencies are closely linked to higher-order cognitive processes, including perspective-taking, moral reasoning, and complex problem-solving[164]. Social cognition and empathy require the integration of executive control, emotional understanding, and theory-of-mind processes, engaging in distributed neural networks that overlap with those supporting abstract reasoning and metacognition. Large-scale educational studies demonstrate that SEL interventions yield not only improvements in social behavior and classroom climate but also moderate gains in academic achievement, suggesting meaningful cognitive transfer[165].

Integrating mindfulness and SEL into cognitive development frameworks

Mindfulness and SEL interventions are most effective when implemented as universal, developmentally appropriate, and contextually embedded programs, rather than as isolated or remedial tools. Their impact on intelligence and academic outcomes appears largely indirect, mediated by enhanced emotional regulation, improved attention, reduced stress, and more adaptive social interactions. Together, these approaches expand the conceptualization of intelligence beyond narrowly defined cognitive skills, emphasizing the role of emotional and social competence in sustaining, flexing, and contextualizing intellectual performance[166,167].

Limitations and heterogeneity in mindfulness and SEL research

Despite growing enthusiasm for mindfulness and SEL interventions, the existing evidence base is characterized by substantial heterogeneity in study design, intervention content, outcome measures, and implementation contexts. This variability complicates the interpretation of efficacy and limits the generalizability of findings across populations and educational settings[163].

A primary limitation concerns intervention heterogeneity. Mindfulness and SEL programs differ widely in duration, intensity, theoretical grounding, instructor training, and delivery format. Some interventions emphasize attentional training and emotional awareness, while others integrate broader behavioral, relational, or curricular components. As a result, pooled effect sizes may obscure meaningful differences between program types and mechanisms of action[168].

Methodological constraints further limit confidence in causal inference. Many studies rely on small sample sizes, short follow-up periods, and non-randomized or weakly controlled designs. Outcome measures frequently depend on self-report or teacher ratings, which are vulnerable to expectancy effects and reporting bias. Objective cognitive and neurobiological measures are less commonly employed, and when included, findings are often inconsistent. Additionally, active control conditions are inconsistently used, making it difficult to distinguish intervention-specific effects from nonspecific factors such as increased adult attention or classroom structure[169,170].

Evidence for direct effects on intelligence or higher-order cognition remains limited. While improvements in emotional regulation, attention, and classroom behavior are relatively robust, far-transfer effects to academic achievement or standardized cognitive measures are generally modest. These findings suggest that mindfulness and SEL interventions may primarily exert indirect cognitive benefits, mediated through stress reduction, improved engagement, and enhanced learning environments rather than through direct enhancement of cognitive capacity[171,172].

Contextual and individual moderators also contribute to variable outcomes. Age, baseline emotional regulation, stress exposure, socioeconomic context, and implementation fidelity all influence responsiveness to mindfulness and SEL programs. Children experiencing higher levels of adversity may show greater emotional and behavioral benefits but smaller immediate academic gains, underscoring the importance of long-term and developmentally sensitive evaluation[173].

Finally, concerns regarding scalability and sustainability remain. Successful outcomes often depend on high-quality training, consistent implementation, and institutional support – conditions that may be difficult to maintain at scale. Without integration into broader educational frameworks, intervention effects may attenuate over time[174].

SPECIAL POPULATIONS: TARGETED COGNITIVE ENHANCEMENT

While cognitive development follows broadly shared neurodevelopmental trajectories, specific populations exhibit atypical profiles of cognitive strengths and vulnerabilities that necessitate targeted intervention strategies. Neurodevelopmental conditions, learning differences, and chronic health or environmental challenges can selectively impair EFs, attention, and learning efficiency[175]. In such contexts, generalized cognitive enrichment approaches may be insufficient, and precision-informed interventions – tailored to underlying neurobiological and behavioral mechanisms – are required[176]. This section synthesizes evidence-based strategies for cognitive enhancement in special populations, emphasizing mechanistic alignment, developmental sensitivity, and translational relevance.

ADHD and executive dysfunction

ADHD is characterized by pervasive deficits in EFs, particularly inhibitory control, working memory, sustained attention, and self-regulation. These impairments reflect altered functioning of frontostriatal and frontoparietal networks and contribute to academic underachievement, behavioral dysregulation, and reduced adaptive functioning. Effective cognitive enhancement in ADHD, therefore, requires multimodal intervention frameworks that address both core neurocognitive deficits and their behavioral manifestations[177,178].

Behavioral interventions, including parent training, classroom behavior management, and contingency-based reinforcement, remain foundational. These approaches improve task engagement and behavioral regulation by externalizing executive-control demands, particularly for younger children. While behavioral strategies may not directly normalize EF performance, they create environmental scaffolding that reduces cognitive load and supports functional outcomes[179].

Nutritional interventions have received increasing attention, particularly omega-3 fatty acid supplementation and elimination diets in selected subgroups. Evidence suggests small but clinically meaningful benefits for attention and executive functioning in a subset of children, especially those with baseline nutritional deficiencies. However, effect sizes are modest, and nutritional strategies should be viewed as adjunctive rather than standalone cognitive interventions[180].

Cognitive and EF training, including working memory training and attention-based exercises, demonstrates near-transfer improvements on trained tasks. Far-transfer to academic performance or real-world executive functioning remains inconsistent, highlighting the importance of integrating cognitive training with behavioral and educational support. Emerging approaches combining cognitive training with motivational enhancement, physical activity, or neurofeedback show promise but require further rigorous evaluation[181]. Overall, the most robust cognitive gains in ADHD are observed when interventions are individualized, developmentally appropriate, and embedded within structured psychosocial and educational frameworks, rather than delivered in isolation[182].

Learning disabilities and neurodiversity

Learning disabilities (LDs), including dyslexia, dyscalculia, and written expression disorders, reflect specific, domain-bound neurocognitive differences rather than global intellectual impairment. From a neurodiversity perspective, these conditions are increasingly understood as atypical learning profiles characterized by both vulnerabilities and relative strengths. Effective cognitive enhancement in this population, therefore, prioritizes strength-based and compensatory approaches rather than attempting to normalize performance through uniform remediation[183]. Table 11 summarizes the strength-based and compensatory approaches targeting LDs and neurodiverse profiles

Table 11 Strength-based and compensatory approaches for learning disabilities and neurodiverse profiles.

Learning disabilities type	Core challenge	Strengths leveraged	Compensatory strategies
Dyslexia	Phonological processing deficits: Slow or inaccurate decoding	Visual-spatial reasoning; narrative and oral language skills; creative thinking	Text-to-speech software; audiobooks; multisensory reading instruction; extended time
Dyscalculia	Numerical magnitude processing; arithmetic fluency	Verbal reasoning; conceptual understanding; real-world problem solving	Visual representations; manipulatives; calculator use; stepwise problem scaffolding
Written expression disorder (dysgraphia)	Handwriting, spelling, and written organization	Verbal expression; oral reasoning; idea generation	Speech-to-text tools; graphic organizers; reduced handwriting demands
Nonverbal learning differences	Visual-spatial processing; social perception	Strong verbal memory; rule-based learning; factual knowledge	Explicit social instruction; visual scaffolds; structured routines
Auditory processing differences	Speech discrimination in noise; auditory memory	Visual learning; pattern recognition	Visual aids, written instructions, and preferential classroom seating
Attention-related learning profiles	Sustained attention; organization	Hyperfocus on areas of interest; creativity	Task chunking; external organizational supports; movement-based learning
Autism-associated learning profiles	Cognitive rigidity; pragmatic language differences	Systematic thinking, detail orientation, and strong memory	Predictable routines; visual schedules; assistive communication tools

Effective cognitive enhancement in learning disabilities emphasizes access, adaptation, and agency, allowing children to demonstrate higher-order thinking without being constrained by persistent processing differences.

Strength-based interventions leverage preserved or enhanced abilities – such as visual-spatial reasoning, creative problem-solving, or oral language – to support learning and self-efficacy. By aligning instruction with individual cognitive profiles, these approaches enhance motivation, reduce cognitive fatigue, and promote deeper engagement. Evidence suggests that capitalizing on strengths can indirectly improve executive functioning and academic persistence, particularly when paired with explicit metacognitive instruction[184].

Compensatory strategies aim to bypass specific processing deficits while preserving access to curriculum content. Examples include assistive technologies (e.g., text-to-speech, speech-to-text), multisensory instruction, extended time, and structured organizational supports. Rather than reflecting reduced expectations, compensatory supports function as cognitive prosthetics, enabling higher-order reasoning and learning to proceed despite persistent core deficits[185].

Importantly, targeted skill remediation – such as phonological training in dyslexia – remains valuable, but outcomes are optimized when remediation is embedded within broader compensatory and strengths-focused frameworks. This integrated approach acknowledges the developmental persistence of certain cognitive differences, minimizes secondary emotional consequences, and supports long-term academic and psychosocial adaptation[186]. Overall, cognitive enhancement for LDs and neurodiverse populations is most effective when interventions are personalized, context-sensitive, and framed around inclusion and functional success, rather than solely on deficit correction[187].

Giftedness and twice exceptional profiles

Gifted and twice exceptional (2e) children present with advanced cognitive abilities alongside asynchronous development and, in 2e cases, co-occurring neurodevelopmental conditions such as ADHD, LDs, or autism. This duality often masks both strengths and vulnerabilities, leading to under-identification and suboptimal support. Targeted cognitive enhancement in this population must balance intellectual challenge with scaffolding, ensuring that exceptional potential is nurtured while addressing barriers to learning and self-regulation[188]. Interventions should prioritize strength-driven enrichment rather than remediation alone. Curriculum compacting, acceleration in domains of strength, and inquiry-based or project-based learning promote deep engagement and higher-order thinking. Simultaneously, individualized supports – such as EF coaching, assistive technologies, and socio-emotional skill-building – are essential for addressing co-occurring difficulties (Table 12)[189].

Table 12 Cognitive enhancement strategies for gifted and twice exceptional learners.

Profile	Core needs	Targeted strategies
Gifted	Intellectual challenge, depth and complexity, autonomy in learning	Curriculum compacting; subject acceleration; inquiry-based and project-based learning; mentorship; metacognitive skill training
Twice exceptional	Simultaneous enrichment and support; EF scaffolding; emotional regulation	Strength-based enrichment with accommodation; assistive technologies; EF coaching; flexible assessment formats
Gifted with attention-deficit/hyperactivity disorder traits	Cognitive stimulation with structure; regulation of attention and impulsivity	Advanced content with task chunking; time-management supports; movement-integrated learning
Gifted with learning disabilities	Access to complex ideas without output constraints	Reduced mechanical demands; alternative demonstration of knowledge; speech-to-text and visual organizers
Gifted with autism-associated profiles	Predictability; social-pragmatic support alongside intellectual rigor	Structured enrichment; visual schedules; explicit social-cognitive instruction; interest-based learning

Optimal cognitive enhancement for gifted and twice exceptional learners requires precision alignment between advanced cognitive capacity and individualized supports, preventing both underachievement and burnout. EF: Executive function.

For 2e learners, integrated plans that align enrichment with accommodation (e.g., advanced conceptual tasks paired with reduced-output demands) help prevent frustration and disengagement. Importantly, psychoeducation for families and educators fosters realistic expectations and resilience, helping children develop adaptive self-concepts and sustained motivation. Recognizing giftedness and 2e profiles as qualitatively distinct neurocognitive patterns, rather than extremes of typical development, enables precision-based cognitive enhancement that supports both excellence and well-being[190].

Children facing socioeconomic or educational disadvantage

Children growing up in conditions of socioeconomic or educational disadvantage are at heightened risk for cognitive delays, reduced EF, and limited academic achievement, often due to cumulative exposure to poverty-related stress, nutritional insufficiency, and limited enrichment opportunities. These disparities underscore the urgent need for scalable, low-cost, high-impact interventions that can reach broad populations while effectively enhancing cognitive development (Figure 10)[191].

Figure 10  Cognitive development in children facing socioeconomic or educational disadvantages. It illustrates the pathways linking socioeconomic and educational adversity to children’s cognitive development, highlighting mechanistic targets and scalable interventions. Adverse conditions such as chronic stress, limited nutrition, and reduced enrichment negatively affect executive function, working memory, attention, and motivation, reducing learning and academic outcomes. Low-cost, high-impact interventions – including after-school programs, tutoring, enriched school meals, and parental/community engagement – mitigate these mechanisms, promoting enhanced executive function, improved academic achievement, and long-term cognitive resilience. The model emphasizes the interconnected, multi-level nature of cognitive enhancement in under-resourced populations.

Early and school-age interventions that combine cognitive, nutritional, and psychosocial enrichment demonstrate the most robust effects. Examples include structured after-school programs, literacy and numeracy tutoring, enriched classroom curricula, parental coaching, and community-based nutrition programs. Even brief, targeted interventions – such as focused EF games, storybook reading, or problem-solving activities – can yield measurable cognitive and academic gains when delivered consistently[192].

These interventions operate through multiple pathways: (1) Reducing chronic stress; (2) Enhancing attention and working memory; (3) Promoting executive control; and (4) Improving motivation and engagement. Nutritional supplementation and fortified school meals address metabolic and neurochemical limitations while stimulating learning environments to foster synaptic plasticity and cognitive resilience. The combination of behavioral scaffolding, enriched inputs, and psychosocial support is particularly effective in mitigating the negative effects of adversity[193].

Cost-effective interventions benefit from simplicity, adaptability, and integration into existing school or community infrastructure. Programs leveraging group-based instruction, peer learning, and parent involvement maximize reach and sustainability. Digital platforms, when appropriately guided and supplemented with human facilitation, can further extend access to enriched cognitive experiences in under-resourced settings[194]. Targeted interventions in socioeconomically disadvantaged populations can narrow cognitive gaps, enhance EF, and improve long-term educational outcomes. Effectiveness is maximized when interventions are multimodal, culturally sensitive, and systematically integrated into daily learning environments[195].

METHODOLOGICAL CONSIDERATIONS, LIMITATIONS, AND QUALITY OF EVIDENCE

The growing body of research on cognitive enhancement in school-age children encompasses diverse domains, including nutrition, physical activity, sleep, psychosocial interventions, educational strategies, digital technologies, and targeted programs for special populations. While this literature provides valuable insights, critical methodological considerations are essential for interpreting findings and guiding evidence-based practice[196].

Strengths and limitations of existing studies

Many studies benefit from rigorous designs, such as RCTs, longitudinal cohorts, and multi-site interventions, which enable causal inference and the mapping of developmental trajectories. High-quality studies often incorporate objective cognitive assessments, neuroimaging measures, and standardized academic outcomes. However, limitations are pervasive. Sample sizes are frequently small, follow-up durations are short, and intervention fidelity is inconsistently monitored. Outcome measures vary widely across studies, complicating direct comparisons, and reliance on self or teacher reports introduces potential bias. Moreover, seven studies focus on narrowly defined interventions, limiting ecological validity and generalizability[193-199].

Heterogeneity, cultural bias, and measurement challenges

Intervention heterogeneity – including variations in dosage, duration, content, and delivery mode – produces inconsistent effect sizes. Cultural and socioeconomic contexts influence both intervention uptake and cognitive outcomes, yet are often underreported or inadequately accounted for. Many studies utilize standardized cognitive tests developed in Western populations, raising concerns about cultural bias and applicability across diverse educational and social environments. Additionally, differences in operationalization of cognitive constructions (e.g., EF, intelligence, attention) reduce comparability and complicate meta-analytic synthesis[200,201].

Translational gaps between research and practice

Despite promising evidence, translation into real-world settings is uneven. Factors contributing to translational gaps include resource constraints, insufficient educator or clinician training, lack of alignment with existing curricula, and variability in family engagement. Furthermore, interventions that demonstrate efficacy in controlled trials may exhibit diminished effectiveness in heterogeneous classroom or community settings. Bridging this gap requires implementing scientific approaches, integrating multi-domain interventions, and developing scalable, culturally sensitive, and contextually feasible adaptive models[202].

While the evidence base supports the potential for cognitive enhancement in school-age children, methodological limitations, heterogeneity, cultural considerations, and translational challenges must be addressed. Future research should prioritize standardized outcome measures, long-term follow-up, mechanistic understanding, and real-world implementation strategies to strengthen the evidence-to-practice continuum[203].

FUTURE DIRECTIONS AND RESEARCH PRIORITIES

Advancing the science of cognitive enhancement in school-age children requires moving beyond single-domain interventions toward integrative, evidence-informed strategies that leverage neurodevelopmental plasticity, environmental enrichment, and educational innovation[204]. The following priorities emerge from the current literature and conceptual frameworks discussed in this review.

Multimodal interventions and synergistic effects

Future studies should explore combined approaches that integrate nutrition, physical activity, sleep hygiene, psychosocial support, and cognitive training. Multimodal interventions have the potential to produce synergistic effects, yielding more robust and durable gains in EFs, intelligence, and academic performance than isolated strategies. Careful evaluation of additive vs interactive effects will inform the optimal design of interventions.

Precision education and personalized cognitive enhancement

Precision education represents an emerging paradigm inspired by precision medicine, emphasizing individualized learning strategies based on cognitive profiling, behavioral analytics, neuropsychological markers, and environmental context. By integrating big data analytics, adaptive algorithms, and continuous performance monitoring, precision education seeks to tailor instruction to each child’s developmental trajectory. This approach moves beyond standardized curricula toward dynamic, data-informed personalization[205]. Children differ in cognitive profiles, neurodevelopmental trajectories, and responsiveness to interventions. Precision education – tailoring cognitive enhancement to individual strengths, weaknesses, and contextual factors – represents a promising direction. Advances in digital assessment, adaptive learning technologies, and neurocognitive profiling can facilitate personalized interventions, maximize efficacy while minimizing unnecessary cognitive load[206,207].

Culturally adaptable and policy-relevant strategies

Research must prioritize cultural relevance and equity, ensuring interventions are adaptable across diverse linguistic, social, and economic contexts. Collaboration with policymakers, educators, and communities is critical to designing scalable, sustainable, and locally sensitive strategies that bridge the gap between research and practice and address global disparities in cognitive development.

Longitudinal and implementation science perspectives

Long-term follow-up studies are essential to determine the durability of cognitive gains and their impact on educational, occupational, and psychosocial outcomes. Implementation science frameworks can guide the translation of evidence-based interventions into real-world settings, highlighting barriers, facilitators, and fidelity metrics. Integrating longitudinal and implementation perspectives will ensure that cognitive enhancement strategies are not only effective but also feasible, equitable, and sustainable.

Future research should prioritize multimodal, individualized, culturally informed, and scalable approaches, evaluated over extended developmental periods and embedded within implementation frameworks. By aligning neuroscientific, educational, and policy perspectives, the field can advance actionable, high-impact strategies to maximize children’s cognitive potential across diverse contexts.

LIMITATIONS

While this review synthesizes evidence across nutritional, physical, psychosocial, educational, and technological domains, several limitations warrant consideration. First, the existing literature is characterized by heterogeneity in study designs, populations, interventions, and outcome measures, which complicates direct comparisons and limits the ability to generate precise effect-size estimates. Many studies rely on small samples, short follow-up periods, or self-reported and teacher-reported outcomes, increasing susceptibility to bias. Second, cultural and socioeconomic generalizability is limited. Much of the evidence originates from high-income Western contexts, raising concerns about its applicability to diverse global populations with differing educational systems, dietary patterns, and psychosocial environments.

Third, long-term effects and durability of interventions remain underexplored. While short-term cognitive gains are frequently reported, few studies assess persistence into adolescence or adulthood, particularly for interventions delivered during the school-age years. Fourth, the review primarily emphasizes modifiable environmental and behavioral factors, which may inadvertently underrepresent the complex interplay between genetics, neurodevelopmental predispositions, and individual differences. Finally, despite efforts to cover emerging domains such as digital technology, psychobiotics, and neurofeedback, the literature in these areas remains preliminary and methodologically diverse, limiting definitive conclusions. Overall, these limitations underscore the need for large-scale, longitudinal, culturally sensitive, and mechanistically informed studies to strengthen the evidence base and guide scalable, high-impact cognitive enhancement strategies for children.

CONTROVERSIES AND ONGOING DEBATES IN COGNITIVE ENHANCEMENT

Despite promising findings, several debates remain unresolved. The extent to which intelligence is modifiable beyond genetic predispositions remains under discussion. While environmental enrichment improves cognitive performance, long-term effects on general intelligence remain contested. Similarly, working memory training programs demonstrate near-transfer effects, yet far-transfer benefits remain inconsistent across trials. Ethical concerns also arise regarding equity in cognitive enhancement, particularly when advanced interventions are accessible only to socioeconomically advantaged populations. These debates underscore the need for cautious interpretation and equitable implementation strategies.

CONCLUSION

Cognitive development during the school-age years is a dynamic, plastic system highly responsive to environmental, nutritional, educational, psychosocial, and technological influences. This review underscores that intelligence and EF are not fixed traits but can be enhanced through targeted, evidence-based interventions. Multimodal strategies – integrating nutrition, physical activity, sleep optimization, cognitive training, social-emotional learning, and context-sensitive educational practices – hold the greatest potential to promote robust, enduring cognitive gains. Special populations, including children with ADHD, LDs, 2e profiles, and those facing socioeconomic disadvantage, benefit most from personalized, strength-based, and compensatory approaches that align interventions with neurocognitive profiles and contextual realities. Emerging technologies, mindfulness programs, and culturally adaptable frameworks further expand opportunities for scalable, impactful cognitive enhancement. Despite promising findings, heterogeneity, limited longitudinal data, cultural gaps, and translational challenges highlight the need for rigorous implementation-focused research. Future efforts should prioritize precision-informed, multimodal, and scalable interventions, be evaluated across diverse populations, and be sustained over developmental periods. By integrating neuroscientific, educational, and psychosocial perspectives, stakeholders, including parents, educators, clinicians, and policymakers, can collaboratively maximize children’s cognitive potential, fostering academic success, adaptive functioning, and lifelong well-being.