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Metacognition meets AI: Empowering reflective writing with large language models
Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Vaud, Switzerland.
Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Vaud, Switzerland.
KTH, School of Industrial Engineering and Management (ITM), Learning, Digital Learning.ORCID iD: 0000-0002-6175-9200
Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Vaud, Switzerland.
2025 (English)In: British Journal of Educational Technology, ISSN 0007-1013, E-ISSN 1467-8535Article in journal (Refereed) Published
Abstract [en]

Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational technologies literature have explored the paradigms of learning from worked and modelling examples, but (a) their application to the domain of reflective writing is rare, (b) such methods might not scale properly to large-scale classrooms, and

Place, publisher, year, edition, pages
Wiley , 2025.
Keywords [en]
large language models, learning from examples, metacognition, reflective writing, writing assistants
National Category
Studies of Specific Languages
Identifiers
URN: urn:nbn:se:kth:diva-366060DOI: 10.1111/bjet.13601ISI: 001485324100001Scopus ID: 2-s2.0-105004761603OAI: oai:DiVA.org:kth-366060DiVA, id: diva2:1981204
Note

QC 20250703

Available from: 2025-07-03 Created: 2025-07-03 Last updated: 2025-07-03Bibliographically approved

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Davis, Richard Lee

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