Session Information
99 ERC SES 03 R, Self-Regulation and Learning Processes
Paper Session
Contribution
A growing body of research positions executive functioning (EF); including inhibitory control, working memory, and cognitive flexibility, as closely linked to children’s readiness to engage with classroom learning, in interaction with early academic skills (Blair & Raver, 2015; Diamond, 2013). Within early education, learning-related skills are commonly defined as the capacity to control, direct, and plan actions in academic contexts and are conceptualised as interrelated with social-emotional competence and classroom factors (McClelland et al., 2007). Across this readiness literature, EF and behavioural self-regulation are discussed in relation to attention control (often framed as executive attention), inhibitory control, and working memory, and are positioned within conceptual models linking learning-related skills to academic achievement, including reading and vocabulary.
From a literacy-specific perspective, models of writing development emphasise that transcription and self-regulation place substantial demands on limited cognitive resources in younger writers, constraining higher-order composition processes when handwriting and spelling are not yet sufficiently fluent (Graham & Harris, 2000). Research also highlights the connections between writing and reading systems (“language by hand” and “language by eye”), supporting a view of literacy learning as multi-component and interdependent rather than a single skill domain (Berninger et al., 2002).
This paper presents a classroom-based practitioner inquiry examining how attention to EF demands shapes pupils’ engagement with literacy learning in an early primary classroom. Rather than evaluating an intervention or measuring pupil outcomes, the inquiry foregrounds teacher learning and instructional reasoning through the following questions:
- How do executive functioning demands become visible during everyday literacy instruction in an early primary classroom?
- How does increased teacher attentiveness to executive functioning demands shape instructional decision-making in literacy lessons?
The inquiry is grounded in developmental and psychobiological models of self-regulation, which conceptualise EF as an integrated system shaped by biological, emotional, and contextual factors (Blair & Diamond, 2008; Blair & Raver, 2015). The analytic focus is the teaching-learning relation: how task design and instructional moves mediate learners’ participation under varying EF demands. Drawing on this literature, the study adopts the stance that executive functioning should be understood not as a learner deficit but as a classroom condition that shapes how literacy tasks are experienced and enacted, particularly where task complexity, transcription demands, and attentional shifts intersect with developing self-regulation. The contribution is a practice-proximal didactic lens for identifying and redesigning EF demand points in early literacy tasks, especially where multiple cognitive demands converge.
Method
The study adopts a qualitative practitioner inquiry design, consistent with established traditions of teacher research that conceptualise inquiry as systematic, intentional investigation by teachers into their own classroom practice (Cochran-Smith & Lytle, 1993). Within this framework, the purpose of the inquiry is not to evaluate an intervention or measure pupil outcomes, but to generate professional knowledge through reflective analysis of teaching–learning interactions as they unfold in situ. Data consist solely of the teacher-researcher’s professional artefacts, including structured observation notes, reflective journals, and post-lesson analytic memos generated during literacy instruction across one school term. The use of teacher-generated documents as data aligns with qualitative inquiry approaches that recognise the researcher as the primary analytic instrument and position meaning-making as central to analysis (Creswell, 2013). No recorded pupil data (audio or video), assessment scores, or identifiable pupil records were collected; the dataset comprises only the teacher’s contemporaneous notes and analytic memos. Observations focused on instructional moments where pupils appeared to experience difficulty sustaining attention, managing task demands, or engaging with literacy activities. All notes were written in de-identified form and analysed inductively to identify recurring patterns related to executive functioning demands (e.g., task length, transcription load, attentional shifts, transitions between lesson components). Analytic procedures involved iterative cycles of reflection, coding, and memo writing, informed by sensitising concepts from executive functioning and literacy research. An audit trail was maintained through dated notes, coding iterations, and analytic memos linked to specific lesson episodes to support transparency of interpretation. Reflection was treated as an analytic process rather than unstructured introspection, drawing on typologies of reflective practice that emphasise descriptive, comparative, and interpretive reasoning in professional inquiry (Jay & Johnson, 2002). To reduce confirmation bias, discrepant episodes were actively sought and coded, including lessons where anticipated EF demand points did not materialise. Consistent with qualitative inquiry traditions, the analysis prioritised situated understanding of instructional decision-making rather than claims of effectiveness, generalisability, or causal impact (Creswell, 2013).
Expected Outcomes
The inquiry generated three provisional insights, presented explicitly as teacher learning. First, classroom literacy tasks were experienced by the teacher as requiring levels of sustained attention and working memory that necessitated task redesign at points of peak EF demand in order to support participation. This aligns with accounts of executive functioning and self-regulation as central to early learning engagement and readiness, and with conceptualisations of EF in terms of executive attention, inhibitory control, and working memory in early educational contexts (Blair & Raver, 2015; McClelland et al., 2007). Second, heightened teacher awareness of executive functioning demands was associated with more deliberate instructional choices, including reduced simultaneity (fewer concurrent demands), shorter instructional segments, and pacing adjustments. These decisions were oriented toward reducing unnecessary processing demands where transcription competed with composition and meaning-making (Graham & Harris, 2000). Third, the inquiry supported a shift in the teacher’s interpretation of off-task drift, particularly during transitions and multi-step writing tasks, which was increasingly analysed as a potential indicator of misalignment between task demands and developing self-regulation capacities rather than as behavioural non-compliance. These outcomes are reported as professional learning and reflective judgement, not evidence of causal impact.
References
Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. https://doi.org/10.1016/S1364-6613(00)01538-2 Berninger, V. W., Abbott, R. D., Abbott, S. P., Graham, S., & Richards, T. (2002). Writing and Reading: Connections Between Language by Hand and Language by Eye. Journal of Learning Disabilities, 35(1), 39–56. https://doi.org/10.1177/002221940203500104 Blair, C., & Diamond, A. (2008). Biological processes in prevention and intervention: The promotion of self-regulation as a means of preventing school failure. Development and Psychopathology, 20(3), 899–911. https://doi.org/10.1017/S0954579408000436 Blair, C., & Raver, C. C. (2015). School Readiness and Self-Regulation: A Developmental Psychobiological Approach. Annual Review of Psychology, 66(1), 711–731. https://doi.org/10.1146/annurev-psych-010814-015221 Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750 Diamond, A., & Ling, D. S. (2016). Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not. Developmental Cognitive Neuroscience, 18, 34–48. https://doi.org/10.1016/j.dcn.2015.11.005 Graham, S., & R. Harris, K. (2000). The Role of Self-Regulation and Transcription Skills in Writing and Writing Development. Educational Psychologist, 35(1), 3–12. https://doi.org/10.1207/S15326985EP3501_2 Jay, J. K., & Johnson, K. L. (2002). Capturing complexity: A typology of reflective practice for teacher education. Teaching and Teacher Education, 18(1), 73–85. https://doi.org/10.1016/S0742-051X(01)00051-8 Lungu, M. (2022). The Coding Manual for Qualitative Researchers. American Journal of Qualitative Research, 6(1), 232–237. https://doi.org/10.29333/ajqr/12085 Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (Edition 3). Sage.
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