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<journal-id journal-id-type="publisher-id">Front. Dev. Psychol.</journal-id>
<journal-title>Frontiers in Developmental Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Dev. Psychol.</abbrev-journal-title>
<issn pub-type="epub">2813-7779</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fdpys.2025.1604485</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Developmental Psychology</subject>
<subj-group>
<subject>Review</subject>
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</subj-group>
</article-categories>
<title-group>
<article-title>Academic achievement and socio-economic status: a review within context-specific models of executive function</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bryant</surname> <given-names>Lauren J.</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2924686/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<aff><institution>Department of Psychology, Sacred Heart University</institution>, <addr-line>Fairfield, CT</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Stephanie M. Carlson, University of Minnesota Twin Cities, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Paulo Guirro Laurence, Federal University of ABC, Brazil</p>
<p>Margherita Siciliano, University of Campania Luigi Vanvitelli, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Lauren J. Bryant <email>bryantl3&#x00040;sacredheart.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>&#x02020;ORCID: Lauren J. Bryant <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-6113-5943">orcid.org/0000-0001-6113-5943</ext-link></p></fn></author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>3</volume>
<elocation-id>1604485</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Bryant.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Bryant</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Executive function (EF) has traditionally been conceptualized as domain-general cognitive processes that support goal-directed thought and behavior. However, recent Context-Specific models suggest that EF emerges through goal-directed assemblies of processes (e.g., beliefs, language, and content knowledge) and emphasize training EF within the same contexts it is used in applied settings. This framework also provides novel insights on the impacts of environmental factors, including socio-economic status, on EF, related academic skills, and other developmental outcomes. The present narrative review examines context-specific associations among EF, socio-economic status, and academic achievement, detailing how these theories account for the mediating role of EF among these variables. Further, I review interventions informed by these models, discussing implications for students and teachers within low-income districts.</p></abstract>
<kwd-group>
<kwd>executive function</kwd>
<kwd>socio-economic status</kwd>
<kwd>academic achievement</kwd>
<kwd>education</kwd>
<kwd>cognitive development</kwd>
</kwd-group>
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<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="10"/>
<word-count count="8639"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cognitive Development</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Executive function (EF) has traditionally been defined as domain-general processes that exert top-down control over cognition and behavior across contexts (e.g., <xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>). Empirical work under these models has largely emphasized relatively de-contextualized laboratory measures (e.g., sorting pictures; see <xref ref-type="bibr" rid="B10">Carlson, 2005</xref>, for review), composite scores of which are often used to estimate overall EF or its core components (i.e., inhibition, shifting, and updating; <xref ref-type="bibr" rid="B56">Miyake et al., 2000</xref>; <xref ref-type="bibr" rid="B55">Miyake and Friedman, 2012</xref>). Research consistently highlights the importance of understanding EF and its development. For instance, a variety of environmental factors (e.g., stressful events) have been linked to the development of the neural substrates that support EF (e.g., <xref ref-type="bibr" rid="B14">DePasquale et al., 2021</xref>), which in turn predicts a myriad of academic and socio-emotional outcomes (<xref ref-type="bibr" rid="B38">Kitil et al., 2025</xref>; <xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>; <xref ref-type="bibr" rid="B75">Stucke and Doebel, 2024</xref>). These findings emphasize the value of conceptualizing EF within an appropriate theoretical framework that can properly account for how environmental factors contribute to EF&#x00027;s development, informing effective interventions to support these processes and related outcomes.</p>
<p>Contemporary models increasingly reconceptualize EF as the context-specific activation of processes (e.g., skills, beliefs, content knowledge) rather than domain-general skills that permeate somewhat uniformly across contexts (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>). Consider, for instance, a child who is regularly inattentive during class&#x02014;whereas traditional &#x0201C;Domain-General&#x0201D; perspectives would posit that this child has overall difficulties with inhibition, emerging &#x0201C;Context-Specific&#x0201D; views suggest that this child&#x00027;s thoughts and behaviors are shaped by a culmination of beliefs (e.g., whether attending to the lesson is likely to result in learning), values (e.g., whether those learning outcomes are desirable), interests, and a multitude of other processes. Context-Specific perspectives emphasize that the &#x0201C;assembly&#x0201D; of these processes (<xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>) is informed by children&#x00027;s past experiences and socio-cultural contexts (<xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>), while also varying across settings and goals. For instance, successful completion of laboratory EF assessments (e.g., sorting pictures; <xref ref-type="bibr" rid="B83">Zelazo, 2006</xref>) requires a different set of processes (e.g., knowledge of color and shape; <xref ref-type="bibr" rid="B66">Perone et al., 2015</xref>, <xref ref-type="bibr" rid="B67">2021</xref>) than those needed to stay on-task in school. Within these models, EF maturation is re-framed as the development of these and other processes, and in turn the efficiency with which children can activate appropriate processes given a certain goal or context (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>). While these perspectives vary in terms of their respective emphases (e.g., the role of goals and cultural background in informing/triggering the activation of these processes; <xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>), these models together frame EF as &#x0201C;deeply influenced by context&#x0201D; (<xref ref-type="bibr" rid="B18">Doebel and M&#x000FC;ller, 2023</xref>, p. 165) and therefore invoked differentially across settings (e.g., laboratory vs. school). Given this context-dependency, these models also prioritize ecologically-valid EF assessments over traditional, decontextualized measures (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B32">Gaskins and Alcal&#x000E1;, 2023</xref>).</p>
<p>Despite their rising popularity, Context-Specific approaches have not been universally accepted. Skeptics caution against these models&#x00027; broad definition of EF and their emphasis on contextualized measurements, which may obfuscate and de-standardize operationalizations of these constructs. Further, laboratory assessments established within &#x0201C;Domain-General&#x0201D; frameworks are argued to yield relatively consistent results across populations and contexts, and predict long-term developmental outcomes (see <xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>, for review). By contrast, advocates for Context-Specific perspectives point out that performance on these assessments, even those targeting the same process (e.g., inhibition), do not reliably correlate with one another (e.g., <xref ref-type="bibr" rid="B31">G&#x000E4;rtner and Strobel, 2021</xref>). Further, these measures may underestimate the capabilities of minoritized children who are less likely to be familiar with these task demands or testing environments (<xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>; <xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>); on the other hand, EF tasks tailored to children&#x00027;s unique socio-cultural contexts may better capture their ability to control their thoughts and behaviors (<xref ref-type="bibr" rid="B32">Gaskins and Alcal&#x000E1;, 2023</xref>).</p>
<p>The perspective of the present review is not that these frameworks are mutually exclusive. Rather, Context-Specific models&#x00027; renewed emphasis on EF&#x00027;s integration with context and other processes provides numerous avenues for future research while also warranting an updated interpretation of previous findings. For example, it is well-known that socio-economic status (SES) and academic achievement are intricately linked throughout development (e.g., <xref ref-type="bibr" rid="B45">Liu et al., 2022</xref>), with studies identifying EF as a mediator among these variables (e.g., <xref ref-type="bibr" rid="B80">Waters et al., 2021</xref>). While these associations have been examined at-length within Domain-General frameworks, Context-Specific models have unique explanatory power and provide novel insights into these established relationships. The purpose of this narrative review is therefore to re-evaluate these associations among early EF, SES, and academic achievement through a Context-Specific lens, supplementing knowledge previously derived from Domain-General frameworks.</p>
<sec>
<title>EF and socio-economic status</title>
<p>SES is a multifaceted construct encompassing a family&#x00027;s access to both economic and social resources, and has been examined across various indices, including income/income-to-needs ratio, parental occupational prestige/education, and composites of these and other variables that exhibit differential associations with child cognition (<xref ref-type="bibr" rid="B59">Mousavi et al., 2024</xref>; <xref ref-type="bibr" rid="B79">Vrantsidis et al., 2020</xref>). SES is associated with an array of critical life experiences that are in turn affiliated with cognitive development (e.g., food insecurity, stressful events; see <xref ref-type="bibr" rid="B36">Jensen et al., 2017</xref>, for review), and children of lower SES often score lower on a range of EF assessments than their more affluent peers (<xref ref-type="bibr" rid="B43">Lawson et al., 2018</xref>). As will be discussed in the following paragraphs, Domain-General and Context-Specific perspectives provide alternative accounts for how SES contributes to EF&#x02014;however, given understandable challenges in subjecting SES to experimental manipulation (but see <xref ref-type="bibr" rid="B62">Noble et al., 2021</xref>, for an intervention of family income), it should be noted that most studies on SES and related outcomes are inherently correlational.</p>
<p>Traditional Domain-General perspectives often consider associations among SES and EF through deficit lens (see <xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>, for discussion). These emphasize, for instance, that stressors more frequently experienced within low-SES households are associated with elevated cortisol, which impacts maturation and function of brain regions supporting EF (<xref ref-type="bibr" rid="B14">DePasquale et al., 2021</xref>; <xref ref-type="bibr" rid="B77">Vliegenthart et al., 2016</xref>; <xref ref-type="bibr" rid="B78">Vogel et al., 2016</xref>); notably, low-SES preschoolers show reduced activation in these areas during executive processing than their higher-SES peers (<xref ref-type="bibr" rid="B58">Moriguchi and Shinohara, 2019</xref>). By contrast, Context-Specific perspectives suggest that children&#x00027;s experiences and socio-cultural backgrounds are associated with the types of processes that they may engage when exercising control. For instance, variations in children&#x00027;s exposure to conceptual knowledge (e.g., shape, color) may mediate associations among SES and children&#x00027;s performance on laboratory EF assessments that involve these dimensions (e.g., Dimensional Change Card Sort; <xref ref-type="bibr" rid="B66">Perone et al., 2015</xref>). Further, the unpredictable circumstances often experienced by children of low SES may also inform a belief that use of control is unlikely to be beneficial, potentially encouraging children to seek immediate rewards over long-term gains (<xref ref-type="bibr" rid="B37">Kidd et al., 2013</xref>; <xref ref-type="bibr" rid="B51">Michaelson and Munakata, 2016</xref>). These beliefs may be especially influential in novel contexts, such as in a laboratory or with an unfamiliar researcher (<xref ref-type="bibr" rid="B57">Moffett et al., 2020</xref>), causing measurements to underestimate children&#x00027;s capacities for control, or undermining the potential benefits of EF interventions (<xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>). Further, children&#x00027;s perceptions about the predictability of their environments may remain somewhat constant over time, potentially contributing to EF&#x00027;s developmental stability (<xref ref-type="bibr" rid="B51">Michaelson and Munakata, 2016</xref>).</p>
<p>Thus, rather than framing SES-based differences in EF as deficits, Context-Specific perspectives more closely align with asset-based approaches, suggesting that these patterns reflect adapted responses to children&#x00027;s socio-cultural contexts. These perspectives are consistent with recent &#x0201C;Hidden Talents&#x0201D; approaches, which posit that adversity strengthens specific cognitive abilities that are especially beneficial in volatile environments (e.g., identifying angry faces; <xref ref-type="bibr" rid="B28">Frankenhuis et al., 2020</xref>), and are only revealed in relevant contexts. For example, youth with long-term exposure to adversity (e.g., violence, poverty) tend to perform lower on abstract updating tasks than their non-exposed peers; however, modifying these assessments with ecologically relevant stimuli (e.g., images of emotional faces or money) effectively closes these performance gaps (<xref ref-type="bibr" rid="B82">Young et al., 2022</xref>). Such findings offer a valuable reframing of the aforementioned role of SES in cortical development, suggesting that neural connections are developed to suit children&#x00027;s survival needs and other context-specific functions.</p>
</sec>
<sec>
<title>EF and academic achievement</title>
<p>As discussed previously, early EF is associated with a variety of cognitive and socio-emotional outcomes (<xref ref-type="bibr" rid="B75">Stucke and Doebel, 2024</xref>). EF&#x00027;s associations with numerous facets of academic success (e.g., school readiness, reading/mathematics; see <xref ref-type="bibr" rid="B84">Zelazo et al., 2016</xref>, for review), including long-term academic outcomes (<xref ref-type="bibr" rid="B69">Robson et al., 2020</xref>), are of particular interest in this review. Many interpret these correlations to imply mechanistic and bidirectional associations among EF and academics, with EF supporting schooling and vice versa (<xref ref-type="bibr" rid="B53">Miller-Cotto and Byrnes, 2020</xref>; <xref ref-type="bibr" rid="B63">Peng and Kievit, 2020</xref>). Consistent with this perspective, examinations of children of similar ages (5&#x02013;6 years) but in different grades found that children with one more year of schooling exhibited heightened EF and activation of associated neural substrates relative to their similar-aged peers in lower grades (<xref ref-type="bibr" rid="B8">Brod et al., 2017</xref>).</p>
<p>The models highlighted in this review offer different explanations for associations among EF and academic achievement. For example, Domain-General perspectives suggest that schooling provides children with a variety of activities (e.g., circle time; <xref ref-type="bibr" rid="B48">McClelland et al., 2019</xref>) that support their broad executive capabilities. These in turn may support a variety of academic tasks, such as paying attention, following instructions, and shifting between activities, perspectives, or strategies (e.g., <xref ref-type="bibr" rid="B12">Chan and Scalise, 2022</xref>; <xref ref-type="bibr" rid="B84">Zelazo et al., 2016</xref>). Contrasting with generalized approaches, however, various executive processes exhibit differential associations with elements of academic success. For instance, performance on a verbal inhibition task (phonemic Continuous Performance Task) more strongly predicted kindergarteners&#x00027; early reading than an equivalent non-verbal measure (<xref ref-type="bibr" rid="B27">Foy and Mann, 2013</xref>; see also <xref ref-type="bibr" rid="B64">Peng et al., 2024</xref>, for similar patterns with elementary school children).</p>
<p>While Domain-General theories may attribute these discrepancies to task impurity, Context-Specific accounts view them as meaningful, suggesting that children engage different processes depending on the specific demands of each academic task. As Context-Specific models characterize EF development as involving the maturation of its constituent processes (e.g., content knowledge; <xref ref-type="bibr" rid="B17">Doebel, 2020</xref>), they posit that education directly supports EF by bolstering children&#x00027;s academic skills (<xref ref-type="bibr" rid="B66">Perone et al., 2015</xref>). In this view, schooling also provides children with opportunities to practice control pursuant to academic goals (e.g., updating textual information in memory), enhancing their EF in similar educational contexts.</p>
<p>While the theories contrasted in this review offer different explanations for the relationship between EF and academic achievement, both present at least somewhat causal accounts. As with the previously discussed associations among SES and EF, however, most evidence connecting EF and academic achievement is correlational. EF interventions may therefore be especially valuable in elucidating the nature of these processes&#x00027; associations with academic and other outcomes (<xref ref-type="bibr" rid="B68">Prager et al., 2023</xref>).</p>
</sec>
<sec>
<title>EF as a context-specific mediator</title>
<p>Numerous studies have linked SES to academic success (<xref ref-type="bibr" rid="B45">Liu et al., 2022</xref>), and these associations play out through multiple pathways. For instance, children&#x00027;s socio-economic backgrounds are often directly tied to their school environments; as public schools largely rely on local property taxes for funding, schools within low-SES neighborhoods tend to have limited access to educational resources and offer salaries that are less likely to attract and retain experienced educators (<xref ref-type="bibr" rid="B1">American Psychological Association, 2017</xref>; <xref ref-type="bibr" rid="B30">Garc&#x000ED;a and Han, 2022</xref>). Associations among SES and academic achievement are also mediated by various characteristics of children&#x00027;s home environments, such as familial values regarding education, parental involvement in their children&#x00027;s schooling, and access to educational resources (<xref ref-type="bibr" rid="B5">Bischoff and Owens, 2019</xref>; <xref ref-type="bibr" rid="B13">Davis-Kean et al., 2021</xref>; <xref ref-type="bibr" rid="B20">Doepke et al., 2019</xref>). Of particular interest to this review, associations among SES and academic achievement are partially mediated by EF across the school years (e.g., <xref ref-type="bibr" rid="B42">Lawson and Farah, 2017</xref>; <xref ref-type="bibr" rid="B80">Waters et al., 2021</xref>).</p>
<p>Given that EF is among many variables linking SES to academic success, it is perhaps unsurprising that the effect sizes of these mediations are often quite modest (e.g., <xref ref-type="bibr" rid="B43">Lawson et al., 2018</xref>). However, Context-Specific models are particularly well-suited to account for many of these additional mediating factors. For instance, access to educational resources supports the development of the content knowledge and skills frequently highlighted within these models (e.g., <xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>). Similarly, social factors such as familial, peer, and cultural attitudes toward education may also inform students&#x00027; own values and motivation to succeed academically, which in turn contribute to whether and how students invoke control in academic settings (<xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>). Rather than viewing these and other mediators as extraneous, Context-Specific models are designed to integrate these variables into a more cohesive theoretical framework. The subsections below discuss the role of several of these factors within Context-Specific models in greater detail.</p>
</sec>
<sec>
<title>Academic knowledge and skills</title>
<p>SES-related gaps in school readiness suggest that differences in key Context-Specific processes emerge well before formal schooling begins. For example, children from families on welfare hear an estimated 30 million fewer words by their 3rd birthdays than their more affluent peers (<xref ref-type="bibr" rid="B34">Hart and Risley, 1995</xref>; <xref ref-type="bibr" rid="B24">Ellwood-Lowe et al., 2022</xref>; cf. <xref ref-type="bibr" rid="B74">Sperry et al., 2019</xref>), with early language gaps predicting later academic success (<xref ref-type="bibr" rid="B47">Lurie et al., 2021</xref>). Longitudinal work has documented similar associations among SES and 3-year-olds&#x00027; mathematical abilities that are primarily mediated by mothers&#x00027; support of their children&#x00027;s numerical skills (<xref ref-type="bibr" rid="B46">Lombardi and Dearing, 2021</xref>). As Context-Specific perspectives frame EF as the assembly of task-specific processes, these views suggest that early gaps in academic skills inherently limit control in contexts where those components are needed (<xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>). For instance, children&#x00027;s reading comprehension involves updating textual information in memory, but also foundational skills (e.g., decoding) and content knowledge (e.g., the meaning of words; <xref ref-type="bibr" rid="B2">Artuso and Palladino, 2022</xref>) that may vary across socio-economic strata.</p>
<p>These issues may be especially relevant in mathematics, which relies on a wide variety of skills and content knowledge (e.g., number symbols, magnitudes, equations). As the appropriateness of these processes vary considerably across problems, children must assemble the needed processes while inhibiting irrelevant knowledge and strategies (<xref ref-type="bibr" rid="B49">Medrano and Prather, 2023</xref>)&#x02014;thus, basic numerical skills bridge the connection between early EF and mathematical achievement. Associations among Head Start students&#x00027; EF and performance on a standardized math test were mediated by basic numerical abilities; when all numeracy skills were tested simultaneously, these associations were mediated by a broader range of skills in kindergarteners (set counting, number line estimation, number identification and comparison) than in preschoolers (<xref ref-type="bibr" rid="B12">Chan and Scalise, 2022</xref>). Consistent with Context-Specific models&#x00027; conceptualization of EF development, these findings may suggest that schooling expands and strengthens children&#x00027;s repertoires of numeric and verbal skills, which students may call upon when invoking EF pursuant to academic goals. Whereas these skills are often viewed as sources of statistical noise in Domain-General perspectives, Context-Specific models posit that EF is, in part, the <italic>activation</italic> of these and other goal-relevant processes (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>).</p>
</sec>
<sec>
<title>Social influences and the &#x0201C;cost of control&#x0201D;</title>
<p>In addition to goal-specific skills and knowledge, Context-Specific perspectives also emphasize how EF is shaped by socio-contextual factors, such as group norms and expectations. Within this framework, EF is viewed as being informed by children&#x00027;s understanding of what behaviors are expected or valued within their social context, rather than as relatively context-independent traits (<xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>; <xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>). In line with this view, preschool-aged children arbitrarily assigned to peer groups (e.g., the &#x0201C;green group&#x0201D;) waited significantly longer on a delay-of-gratification assessment when they believed that other members of their group had been successful at this task (<xref ref-type="bibr" rid="B19">Doebel and Munakata, 2018</xref>; <xref ref-type="bibr" rid="B61">Munakata et al., 2020</xref>).</p>
<p>These findings have significant implications for children&#x00027;s EF in real-world settings, where their beliefs about their in-groups reflect long-term interactions with their peers and authority figures. Group norms are especially relevant in the classroom given that children of similar SES tend to attend the same schools (<xref ref-type="bibr" rid="B52">Mijs and Roe, 2021</xref>). As a result, schools serving low-income districts tend to have higher concentrations of students facing challenges with EF and academics (<xref ref-type="bibr" rid="B7">Bottiani et al., 2019</xref>), informing students&#x00027; collective expectations for their peers&#x00027; self-regulation and achievement. Teachers also play a significant role in developing classroom norms, and therefore teacher biases (e.g., based on familial income, race) may reinforce or establish maladaptive expectations; research has found that interventions to facilitate positive student-teacher interactions benefit preschoolers&#x00027; and primary school students&#x00027; EF (<xref ref-type="bibr" rid="B70">Sankalaite et al., 2021</xref>). Context-Specific approaches posit that children&#x00027;s interactions with their peers and teachers inform their internalized beliefs about their own capacities for regulation, and whether attempts at regulation will lead to desirable outcomes (e.g., <xref ref-type="bibr" rid="B17">Doebel, 2020</xref>).</p>
<p>Given the effort required for successful control (<xref ref-type="bibr" rid="B15">Diamond, 2020</xref>), these beliefs are theorized to factor into a cost-benefit analysis in which children weigh the expenditure of cognitive resources against the likelihood that their efforts will be sufficiently rewarded (e.g., peer approval, good grades). As noted earlier, this decision-making process is particularly relevant among children who often face unpredictable circumstances, and may therefore be especially unsure of whether their control will yield long-term benefits (<xref ref-type="bibr" rid="B37">Kidd et al., 2013</xref>; <xref ref-type="bibr" rid="B51">Michaelson and Munakata, 2016</xref>; <xref ref-type="bibr" rid="B57">Moffett et al., 2020</xref>). This uncertainty or unfamiliarity may contribute to a misalignment among children&#x00027;s context-informed goals (e.g., maximizing immediate rewards) and those of a given situation (e.g., delaying gratification; <xref ref-type="bibr" rid="B29">Frick and Chevalier, 2023</xref>). This mismatch may lead to what may be perceived as &#x0201C;poor&#x0201D; EF in both classroom and laboratory settings, potentially causing assessments to underestimate children&#x00027;s capabilities. This is especially relevant for children whose cultural values de-emphasize elements that are often central to standardized EF measures (e.g., obedience to adults, following verbal instructions; <xref ref-type="bibr" rid="B32">Gaskins and Alcal&#x000E1;, 2023</xref>). In other words, apparent &#x0201C;failures&#x0201D; of EF may instead reflect adapted responses shaped by children&#x00027;s environments and past experiences (<xref ref-type="bibr" rid="B54">Miller-Cotto et al., 2022</xref>).</p>
<p>Context-Specific models therefore frame &#x0201C;successful&#x0201D; EF as the appropriate assembly of cognitive processes given a particular setting or goal, rather than one&#x00027;s generalized use of control. Supporting this view, humans, rodents, and birds reared in unpredictable environments have heightened cognitive skills that are especially beneficial in similarly volatile contexts (e.g., faster attentional shifting to threatening stimuli; see <xref ref-type="bibr" rid="B23">Ellis et al., 2017</xref>, for review). Further, for low-SES kindergarteners of color, positive classroom behaviors and performance on a non-delay EF assessment (Head-Toes-Knees-Shoulders) were associated with the tendency to seek <italic>immediate</italic> gratification on a choice delay task (<xref ref-type="bibr" rid="B21">Duran and Grissmer, 2020</xref>). While the authors acknowledged that children&#x00027;s choices may be shaped by other factors that are also linked to SES (e.g., task comprehension, familiarity with &#x0201C;waiting&#x0201D; games; see also <xref ref-type="bibr" rid="B3">Bailey et al., 2021</xref> for further critiques), these findings non-etheless lend support to notion that children&#x00027;s engagement with these tasks are shaped by their socio-cultural contexts.</p>
</sec>
<sec>
<title>Context-specific EF interventions of academic achievement</title>
<p>Though mostly correlational, the findings discussed above point to EF training as a potential means to address SES-based achievement gaps (<xref ref-type="bibr" rid="B42">Lawson and Farah, 2017</xref>). EF has vital implications for children&#x00027;s academic skills, as they must, for instance, continually update representations of textual and numerical information in memory. However, although early EF can be trained to an extent, these benefits have unreliably transferred to academic outcomes and other untrained skills (<xref ref-type="bibr" rid="B4">Birtwistle et al., 2025</xref>; <xref ref-type="bibr" rid="B50">Melby-Lerv&#x000E5;g and Hulme, 2013</xref>; <xref ref-type="bibr" rid="B65">Peng and Swanson, 2022</xref>; <xref ref-type="bibr" rid="B71">Scionti et al., 2020</xref>; <xref ref-type="bibr" rid="B76">Takacs and Kassai, 2019</xref>).</p>
<p>Context-Specific models offer insights that may help strengthen the efficacy of EF-based academic interventions. In particular, these perspectives suggest that this lack of transfer is due to a contextual mismatch between the training conditions and their intended outcomes. For instance, training 4-year-old children on traditional EF tasks (e.g., Flanker, Go/No-Go) does not improve their mathematical ability (<xref ref-type="bibr" rid="B6">Blakey et al., 2020</xref>), likely because the processes involved in completing these tasks differ significantly from those used in mathematics. These models propose that interventions that train children&#x00027;s EF within specific academic contexts (e.g., training children to update numerical information; <xref ref-type="bibr" rid="B39">Kroesbergen et al., 2012</xref>) may be more effective. Consistent with this perspective, a recent meta-analysis on reading interventions in 1st grade and beyond demonstrated that reading-specific EF training programs yielded greater academic improvements than domain-general ones. However, the authors noted that the current pool of studies on context-specific interventions was &#x0201C;underdeveloped,&#x0201D; warranting further research on the effectiveness of these programs (<xref ref-type="bibr" rid="B11">Cartwright and Palian, 2024</xref>).</p>
<p><xref ref-type="table" rid="T1">Table 1</xref> overviews studies examining context-specific training programs, focusing on relatively small-scale early childhood interventions targeting academic outcomes&#x02014;though several large-scale EF interventions (e.g., <italic>Tools of the Mind</italic>) have yielded impressive academic benefits, they require significant curricular overhaul (and therefore extensive professional development; <xref ref-type="bibr" rid="B16">Diamond et al., 2019</xref>) that may be inaccessible to low-SES districts. Consistent with <xref ref-type="bibr" rid="B11">Cartwright and Palian&#x00027;s (2024)</xref> assessment, the literature examining context-specific early childhood interventions is also quite limited. The implications of these studies and directions for future research in this area are discussed below.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Overview of context-specific EF interventions.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Age in years (SD)</bold></th>
<th valign="top" align="left"><bold>Clinical risk</bold></th>
<th valign="top" align="left"><bold>Context-specific EF training</bold></th>
<th valign="top" align="left"><bold>&#x00023; Sessions (duration)</bold></th>
<th valign="top" align="left"><bold>Training group size</bold></th>
<th valign="top" align="left"><bold>Comparison conditions</bold></th>
<th valign="top" align="left"><bold>Main findings</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B22">Dyson et al. (2017)</xref></td>
<td valign="top" align="left">5&#x02013;7 years<sup>a</sup></td>
<td valign="top" align="left">Older children were only included if they had &#x0201C;weak reading skills&#x0201D;</td>
<td valign="top" align="left">&#x0201C;Set for variability&#x0201D; intervention: shifting between pronunciations of vowel sounds embedded within words</td>
<td valign="top" align="left">8 (20 min) over 4 weeks</td>
<td valign="top" align="left"> &#x02264; 8</td>
<td valign="top" align="left">EF training (<italic>n</italic> = 42) and passive control (<italic>n</italic> = 39)</td>
<td valign="top" align="left">Intervention improved children&#x00027;s ability to read and define irregular trained words and untrained words of equivalent difficulty</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B33">Goodrich et al. (2023)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 4.4 (0.5)</td>
<td valign="top" align="left">Dual language learners with low language/literacy performance; primarily low-SES</td>
<td valign="top" align="left">Early literacy instruction embedded with EF training. For example, remembering increasing spans of letters/words, performing opposite actions based on rhymes (e.g., point to ear for words rhyming with &#x0201C;nose&#x0201D;), and shifting between saying word onsets and rimes</td>
<td valign="top" align="left">28 (25 min) over 7 weeks</td>
<td valign="top" align="left"> &#x02264; 4<sup>b</sup></td>
<td valign="top" align="left">EF &#x0002B; early literacy instruction, early literacy instruction only, and passive control (<italic>ns</italic> = 23)</td>
<td valign="top" align="left">Both training conditions yielded improvements over the control condition on two (syntax and receptive vocabulary) of six literacy measures of interest. There were no significant differences between the training conditions</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B39">Kroesbergen et al. (2012</xref>; study 2)</td>
<td valign="top" align="left"><italic>M</italic> = 5.8 (0.3)</td>
<td valign="top" align="left">Low math performance</td>
<td valign="top" align="left">Embed number words of increasing magnitude within sentences, track numbers thrown on a die during a board game, and remember/sort cards based on number</td>
<td valign="top" align="left">8 (30 min) over 4 weeks</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">EF training, counting training, and passive control (<italic>ns</italic> = 15)</td>
<td valign="top" align="left">Both training conditions improved children&#x00027;s counting skills</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Kroesbergen et al. (2014)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 5.9 (0.3)</td>
<td valign="top" align="left">Low math performance</td>
<td valign="top" align="left">See <xref ref-type="bibr" rid="B39">Kroesbergen et al. (2012)</xref></td>
<td/>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Context-specific EF training, equivalent domain-general EF training (<italic>ns</italic> = 15), and passive control (<italic>n</italic> = 21)</td>
<td valign="top" align="left">Both training conditions led to significant improvements on a number comparison task. Only the Context-Specific group showed significantly greater gains than the control group on the counting test; however, there was no significant difference between the two training conditions</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B41">Kytt&#x000E4;l&#x000E4; et al.&#x00027;s (2015)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 5.9 (0.7)</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">See <xref ref-type="bibr" rid="B39">Kroesbergen et al. (2012)</xref></td>
<td/>
<td valign="top" align="left">4&#x02013;7</td>
<td valign="top" align="left">EF training (<italic>n</italic> = 23), counting training (<italic>n</italic> = 21), and passive control (<italic>n</italic> = 17)</td>
<td valign="top" align="left">Counting training, but not EF training, improved children&#x00027;s counting skills</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B48">McClelland et al. (2019)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 4.3 (0.5)</td>
<td valign="top" align="left">Low-SES (head start)</td>
<td valign="top" align="left">Modified &#x0201C;<italic>Red Light, Purple Light!&#x0201D;</italic> intervention embedded with math and literacy content. For example, responding to cues related to print knowledge, phonological awareness, and early numeracy</td>
<td valign="top" align="left">16 (15&#x02013;20 min) over 8 weeks</td>
<td valign="top" align="left">Class-wide (<italic>M</italic> = 12 participants per class)</td>
<td valign="top" align="left">Context-specific EF training (<italic>n</italic> = 61), equivalent domain-general EF training (<italic>n</italic> = 59), and passive control (<italic>n</italic> = 37)</td>
<td valign="top" align="left">Children in both training conditions had greater mathematical (but not literacy) gains over the school year than the control group. Results were &#x0201C;somewhat stronger&#x0201D; for the context-specific intervention, but differences among training conditions were statistically insignificant</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">Prager et al. (2023)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 4.0 (5.5)</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">EF &#x0002B; Number training: shifting between counting item shapes based on color and shape (adapted Dimensional Change Card Sort)</td>
<td valign="top" align="left">3 (15 min)<sup>c</sup></td>
<td valign="top" align="left">N/A<sup>d</sup></td>
<td valign="top" align="left">EF &#x0002B; Number training, number-only training (<italic>ns</italic> = 27), EF-only training, and active storybook control (<italic>ns</italic> = 25)</td>
<td valign="top" align="left">Both EF training conditions yielded improvements in numerical skills compared to control group, but only EF &#x0002B; Number training improved general mathematical skills. However, differences in math outcomes between EF interventions were not statistically significant. Surprisingly, number-only training lead to non-significant and marginally significant improvements in numeracy and general mathematics, respectively</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B73">Siu et al. (2018)</xref></td>
<td valign="top" align="left"><italic>M</italic> = 7.5 (0.4)</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Repeat forwards and backwards increasingly long spans of Cantonese and English syllables to form strings of words</td>
<td valign="top" align="left">4 (30 min) and 1 (60 min) over 8 weeks</td>
<td valign="top" align="left">N/A<sup>d</sup></td>
<td valign="top" align="left">EF training (<italic>n</italic> = 10), metalinguistic training (<italic>n</italic> = 13), and passive control (<italic>n</italic> = 12)</td>
<td valign="top" align="left">Both training conditions improved children&#x00027;s word reading fluency. Only metalinguistic training improved children&#x00027;s phonological skills</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Overview of context-specific EF intervention of early academic achievement. <sup>a</sup>M and SD not provided. <sup>b</sup>Intervention was a mix of group and one-on-one training sessions. <sup>c</sup>Training span not provided; duration between pre-test and protest was M = 12.34 days (SD = 4.05). <sup>d</sup>Training was carried out in one-on-one sessions.</p>
</table-wrap-foot>
</table-wrap>
<p>As seen in the table, a common context-specific intervention strategy is to embed academic content (e.g., numbers, letters) into EF training (or vice versa). This method theoretically benefits academics by having children practice control in similar ways they would use it toward academic pursuits. For example, in a numeracy-modified Dimensional Change Card Sort task, children shifted between counting items based on shape and color (e.g., &#x0201C;how many blue ones are there?&#x0201D;). This training yielded significant improvements in preschoolers&#x00027; numeracy and general mathematical abilities (<xref ref-type="bibr" rid="B68">Prager et al., 2023</xref>). Similarly, training children to flexibly shift between vowel pronunciations bolstered their ability to read and define irregular words (<xref ref-type="bibr" rid="B22">Dyson et al., 2017</xref>). While these training interventions generally (but not always; e.g., <xref ref-type="bibr" rid="B41">Kytt&#x000E4;l&#x000E4; et al.&#x00027;s, 2015</xref>) improved children&#x00027;s academic outcomes, studies including active control groups demonstrated limited benefits of these programs above and beyond the effects of simply training academic skills in isolation (e.g., <xref ref-type="bibr" rid="B39">Kroesbergen et al., 2012</xref>). Further, the few early childhood studies directly comparing context-specific interventions with otherwise equivalent domain-general ones found only small differences in their effects on academic outcomes, though these typically favored context-specific approaches (<xref ref-type="bibr" rid="B40">Kroesbergen et al., 2014</xref>; <xref ref-type="bibr" rid="B48">McClelland et al., 2019</xref>).</p>
<p>It is entirely possible that EF interventions of any kind will have limited impacts on young children&#x00027;s academic skills. At the same time, these mixed findings suggest that context-specific interventions have potential, and future work can examine modifications of these programs that may boost their effectiveness. For instance, existing interventions can be adjusted to be more explicitly &#x0201C;context-specific&#x0201D;&#x02014;though often framed as a dichotomy, context-specificity truly exists on a spectrum, with some interventions and measures being more context-specific than others. For example, studies using <xref ref-type="bibr" rid="B39">Kroesbergen et al. (2012)</xref> training procedures were included in this review of context-specific interventions because they incorporated numeracy content. However, these may be less context-specific than, for instance, the counting-only training provided to <xref ref-type="bibr" rid="B41">Kytt&#x000E4;l&#x000E4; et al. (2015)</xref> comparison group. It is likely for this reason that studies using this numbers-based EF training have varied in their classification of this intervention, with one labeling it as &#x0201C;domain-specific&#x0201D; (<xref ref-type="bibr" rid="B40">Kroesbergen et al., 2014</xref>), and another as &#x0201C;domain-general&#x0201D; (<xref ref-type="bibr" rid="B41">Kytt&#x000E4;l&#x000E4; et al.&#x00027;s, 2015</xref>).</p>
<p>In other words, while these studies included academic content in EF training (and were therefore classified as &#x0201C;context-specific&#x0201D; in this review), there may still be a significant mismatch among training and testing conditions. For instance, these interventions were presented as games, whereas outcomes were often assessed via standardized math and literacy tests (<xref ref-type="bibr" rid="B40">Kroesbergen et al., 2014</xref>; <xref ref-type="bibr" rid="B48">McClelland et al., 2019</xref>). Though gamification has significant practical benefits for children&#x00027;s engagement and enjoyment of these tasks (<xref ref-type="bibr" rid="B25">Eng et al., 2024</xref>), Context-Specific models may caution that this can hinder the contextual alignment between interventions and intended outcomes. Role-playing games in which children apply academic and control skills in semi-realistic scenarios could strike a balance between ecological validity and child engagement. This may help explain the success of programs like <italic>Tools of the Mind</italic> (e.g., <xref ref-type="bibr" rid="B16">Diamond et al., 2019</xref>), though further research is needed to determine whether this approach can be effectively implemented on a smaller, more accessible scale.</p>
<p>In addition to modifying training conditions, this work may also opt for more ecologically valid assessments of academic outcomes in addition to standardized testing. These measures may better capture the effects of context-specific interventions, while also better aligning with these theoretical models. Future studies should also continue to include active control conditions with the goal of developing interventions that substantially benefit academic skills beyond the effects of simply training domain-general EF or academic skills independently.</p>
<p>This line of inquiry could inform interventions to better support EF and academic achievement across a broad range of socio-economic strata. Many of the interventions highlighted in this section may already be relatively accessible to a wide variety of school districts. Most of these studies utilized group training sessions, which may be more easily adapted for a classroom than one-on-one interventions. These training sessions are also relatively short, involve few material resources, and require brief training for faculty/staff planning to implement the intervention (e.g., less than a day; <xref ref-type="bibr" rid="B48">McClelland et al., 2019</xref>)&#x02014;especially compared to more extensive programs, like <italic>Tools of the Mind</italic>, which requires several days of teacher training (<xref ref-type="bibr" rid="B16">Diamond et al., 2019</xref>). At the same time, it is important to note that the faculty/staff, particularly those serving low-SES districts, may already be stretched thin (<xref ref-type="bibr" rid="B26">Farahmandpour and Voelkel, 2025</xref>) and <italic>any</italic> interventions, no matter how &#x0201C;budget-friendly,&#x0201D; may be difficult to implement due to their need for teacher time and cognitive resources&#x02014;optimizing the academic impact of these interventions will inherently enhance their resource-effectiveness. As discussed above, Context-Specific perspectives may offer a valuable framework for maximizing these programs&#x00027; benefits.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s2">
<title>Discussion</title>
<sec>
<title>Limitations and future directions</title>
<p>Context-Specific models broaden our understanding of EF by emphasizing its integration with other cognitive and affective processes, as well as their highly context-dependent nature (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B60">Munakata and Michaelson, 2021</xref>; <xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>). These perspectives are therefore well-suited to provide meaningful insights on how children&#x00027;s environments, including socio-economic factors, shape EF development and related outcomes. As SES is an exceptionally broad construct (<xref ref-type="bibr" rid="B43">Lawson et al., 2018</xref>), its linkages with EF and academic outcomes are multi-directional and nearly limitless. Therefore, rather than providing an exhaustive account for these associations, the goal of this review was to provide a conceptual framework that supports future research in exploring SES-related factors not thoroughly addressed here (e.g., food insecurity) and potential interventions to support children&#x00027;s EF and their academic achievement. Further, given that these models underscore the importance of <italic>context</italic> on EF and related outcomes, additional research may also expand this line of inquiry to the many other interacting systems within children&#x00027;s environments (<xref ref-type="bibr" rid="B9">Bronfenbrenner, 1977</xref>). For instance, child cognitive outcomes also reflect dynamics within their households (<xref ref-type="bibr" rid="B13">Davis-Kean et al., 2021</xref>), which interact with larger exo- and chrono-system level influences (e.g., systemic racism).</p>
<p>As highlighted previously, a further limitation of this review is that most work on SES and related risk factors/outcomes is inherently correlational, making some of the theorized connections among SES, EF, and academic achievement somewhat speculative. While the academic benefits of the aforementioned EF training paradigms (e.g., <xref ref-type="bibr" rid="B68">Prager et al., 2023</xref>) suggest at least somewhat causal associations among these variables, this literature has produced limited findings that warrant further examinations on the effectiveness of these programs. Longitudinal work would also be valuable in examining the long-term effects of these interventions, while also capturing potential developmental shifts in EF&#x00027;s contributions to academic achievement (and vice versa) throughout the school years.</p>
<sec>
<title>Reconciling context-specificity and domain-generality</title>
<p>As stated in the introduction, the goal of this review was to examine how Context-Specific models provide insights on associations among academic achievement, EF, and SES that complement those gained from traditional Domain-General accounts. This focus was due to the novelty of Context-Specific perspectives as compared to their Domain-General counterparts, rather than superiority of one model over another. Indeed, Context-Specific perspectives have several inherent limitations. Some have suggested that these models are too broad in scope, and theories in which &#x0201C;everything matters&#x0201D; are not especially informative ways to study development (<xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>; see also <xref ref-type="bibr" rid="B67">Perone et al., 2021</xref>, for discussion). While these models offer valuable insights into the context-dependency of EF, their breadth may come at the expense of focus and conceptual clarity. Further, Context-Specific models&#x00027; emphasis on ecologically valid measures over traditional laboratory assessments has raised concerns over likely inconsistent operationalizations of EF across contexts and studies, with this lack of standardization hindering the integration of work within this framework into a cohesive literature (<xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>).</p>
<p>I am therefore not suggesting that we &#x0201C;throw out the proverbial (domain-general) baby with the bathwater&#x0201D; (<xref ref-type="bibr" rid="B11">Cartwright and Palian, 2024</xref>, p. 276). Rather, these views&#x00027; respective strengths and weaknesses warrant a reconciliation (<xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>) that characterizes EF&#x00027;s development both within and across contexts. A hybrid model that integrates these perspectives is especially appropriate given that the neural substrates underlying EF are known to show both generalized and task-specific properties (<xref ref-type="bibr" rid="B44">Lemire-Rodger et al., 2019</xref>; <xref ref-type="bibr" rid="B81">Wilkey, 2023</xref>). One such reconciliation includes the proposal that children generalize across multiple instances of using EF across a range of contexts to build abstract executive processes, with children more easily able to generalize use of control across relatively similar goals (e.g., not kicking someone vs. not eating a marshmallow) than less similar ones (e.g., paying attention to a conversation). Here, EF maturation is not just seen as the development of its constituent processes, but also the ongoing collection of diverse experiences and their abstraction into schemas of control (<xref ref-type="bibr" rid="B35">Ibbotson, 2023</xref>).</p>
<p>Critically, hybridized models account for children&#x00027;s use of <italic>both</italic> generalized and context-specific processes, as well as intermediary functions (e.g., perspective taking) that assemble relevant processes (e.g., valuing others&#x00027; views, switching flexibly between perspectives) while also applying to a broad range of settings (e.g., cooperative play, prosocial behavior). This perspective can guide future research examining how children&#x00027;s experiences in one context (e.g., home) translate to use of control others (e.g., school). This line of inquiry may therefore be especially informative in the development of EF training interventions; in particular, these hybridized perspectives suggest that training intermediary executive processes would be especially likely to transfer to a variety of real-world skills, including but not limited to those used in academic contexts (<xref ref-type="bibr" rid="B85">Zelazo et al., 2024</xref>).</p>
</sec>
</sec>
<sec>
<title>Conclusion</title>
<p>In sum, Context-Specific models provide valuable insights on the interplays among children&#x00027;s environments and cognitive outcomes. This renewed focus is particularly relevant amid widening income disparities (<xref ref-type="bibr" rid="B5">Bischoff and Owens, 2019</xref>; <xref ref-type="bibr" rid="B52">Mijs and Roe, 2021</xref>)&#x02014;particularly in the United States, where potential educational reforms may further disadvantage children and teachers within low-income districts. Traditional and emerging models each contribute to our understanding of how EF and its constituent processes can be supported in low-SES and other at-risk children (<xref ref-type="bibr" rid="B17">Doebel, 2020</xref>; <xref ref-type="bibr" rid="B35">Ibbotson, 2023</xref>; <xref ref-type="bibr" rid="B86">Zelazo and Carlson, 2023</xref>). This work is especially important given that a recent meta-analysis noted a severe lack of attention to SES in the developmental sciences (<xref ref-type="bibr" rid="B72">Singh and Rajendra, 2024</xref>). Continued efforts in this area will not only advance our scientific understanding of EF and its development, but also support vital cognitive and academic outcomes.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s3">
<title>Author contributions</title>
<p>LB: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s4">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
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<ack><p>LB thank Hannah McGovern for her assistance with the intervention table.</p>
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