Microlearning-Embedded Reflection: Early Indicators of Pedagogical Competence in Pre-Service Mathematics Teacher Education
DOI:
https://doi.org/10.31305/rrijm.2025.v10.n11.013Keywords:
microlearning, reflective practice, pedagogical content knowledge, mathematics teacher education, thematic analysisAbstract
Mathematics teacher education often struggles to bridge coursework and classroom practice, leaving pre-service teachers with limited capacity to align pedagogical strategies to topic structures and to cultivate sustained reflective habits. This study addresses that challenge by examining how concise, structured microlearning—paired with guided reflective diaries—supports the development of pedagogical content knowledge, adaptive method selection, and reflective self-awareness in a B.Ed. mathematics cohort. The objectives were to analyze how candidates articulate theory–practice links following micro-units, rationalize method–content alignment across mathematical topics, and evolve in reflective dispositions over time. Methodologically, the paper employs a qualitative literature review to position the problem, proposes a conceptual Microlearning–Reflection–PCK model, and reports a qualitative descriptive study using reflexive thematic analysis of diary entries. The findings presented in this article are derived from the reflection components (Units 1–3) of a broader study on microlearning-based pedagogy training; only the reflection diaries were analyzed for this publication. The review synthesizes three strands—microlearning in teacher education, reflective practice in pre-service preparation, and PCK with method–content fit—while the empirical section advances three themes: linking theory to practice, adaptability in method selection, and growth in reflective self-awareness. Findings indicate progressive movement from descriptive recall to conditional, context-sensitive reasoning, alongside measurable gains in reflective identity formation during the early weeks of the intervention. The study demonstrates that microlearning functions as a reflective engine, offering a scalable, low-bandwidth design that embeds iterative reflection into existing curricula. Implications include programmatic guidance for integrating micro-reflections and future research on prompt design, longitudinal transfer, and multimodal triangulation.
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