Data-driven Learning Meets Generative AI: Introducing the Framework of Metacognitive Resource Use

Author:

Mizumoto AtsushiORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Management of Technology and Innovation

Reference39 articles.

1. Anthony, L. (2023, September 9–10). Corpus AI: Integrating large language models (LLMs) into a corpus analysis toolkit [Paper presentation]. 49th Conference of Japan Association for English Corpus Studies, Osaka, Japan.

2. Corpus use in language learning: A meta-analysis;Boulton;Language Learning,2017

3. Thirty years of data-driven learning: Taking stock and charting new directions over time;Boulton;Language Learning & Technology,2021

4. Testing the limits of data-driven learning: Language proficiency and training;Boulton;ReCALL,2009

5. Boulton, A. (2012). What data for data-driven learning? EuroCALL Review: Proceedings of the EUROCALL 2011 Conference, 20, 23–27. http://eurocall.webs.upv.es/documentos/newsletter/papers_20(1)/07_boulton.pdf.

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3. Blended Learning and AI: Enhancing Teaching and Learning in Higher Education;Lecture Notes in Computer Science;2024

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