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July 30, 2026TESOL JournalOpen Access

From Theory to Practice: Integrating Generative AI ‐Powered Microlearning Into TESOL

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Authors

LKLucas Kohnke

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Overview

This article demonstrates effective strategies for enhancing language teaching through AI-enabled microlearning, suggesting implications for education.

Key Points

  • This article aims to provide strategies for incorporating generative AI and microlearning into TESOL education.
  • Introduces a conceptual framework linking second-language acquisition, cognitive load theory, and multimodal learning.
  • Advances design principles focused on interactivity, feedback, and critical AI literacy.
  • Discusses practical AI tool applications in vocabulary, grammar, and pragmatics.
  • Demonstrates that AI-enhanced interactive tasks can improve student engagement and knowledge access.
  • Highlights the importance of teacher mediation and critical AI literacy in the application of AI tools.
  • Advocates for a design framework that emphasizes conciseness and accessibility in language learning.

Cite This Study

Lucas Kohnke (2026) studied this question.

synapsesocial.com/papers/6a6af4e960e2b924d3ea0826https://doi.org/10.1002/tesj.70153
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1From Pedagogy to Practice: Using Microlearning to Prepare Teachers for <scp>GenAI</scp> and Digital Multimodal Composition2026 · 3 citations
  2. 2Principles of GenAI-assisted microlearning: perspectives of pre-service language teachers2025 · 3 citations
  3. 3Avoiding De‐Skilling and Dependency: A Practical Guide to Using Generative <scp>AI</scp> in <scp>TESOL</scp> Teacher Education2026
  4. 4Empowering pre-service teachers with generative artificial intelligence and microlearning: pathways to self-directed growth2025
  5. 5Principles and Practices for Integrating genAI in Formative Language Assessment2025