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A Deep Dive into Self-Regulated Learning: ReflectiveDiaries Role and Implementation Strategies
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (SQUAD - SOFTWARE QUALITY AND DIGITAL MODERNISATION)ORCID iD: 0000-0002-7885-0369
2024 (English)In: Communications of the Association for Information Systems, E-ISSN 1529-3181, Vol. 54, p. 868-888, article id 32Article in journal (Refereed) Published
Abstract [en]

Reflective learning diaries can help students develop self-regulated learning (SRL), a critical skill for success. Forteachers such learning diaries can be a valuable tool for formative evaluation of SRL. However, there is limitedresearch on the use of reflective diaries in software engineering and information systems education. To address thisgap, we conducted a case study in which reflective learning diaries were used in a course. The goal of this research isto investigate the potential of using reflective diaries to formatively evaluate three key features of SRL: conceptions ofknowledge, conceptions of learning, and strategies for monitoring and regulating learning. Our findings suggest thatreflective diaries is a valuable tool for formative evaluation of SRL in software engineering education. Reflection onlearning experiences helps students develop self-awareness of their SRL skills and identify areas for improvement.Instructors can use this information to provide students with targeted feedback and support. By using reflective diariesto promote dialogic feedback, instructors can help students to develop a deeper understanding of their own learningand to become more effective self-regulated learners. The study conclude with lesson learned that provide practicalrecommendations for educators who are swiftly moving towards online teaching.

Place, publisher, year, edition, pages
Association for Information Systems, 2024. Vol. 54, p. 868-888, article id 32
Keywords [en]
Self-regulated Learning, Information Systems, Engineering Education, Software Development, Scrum, Agile, Software Engineering
National Category
Software Engineering Learning Didactics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-99605DOI: 10.17705/1CAIS.05432ISI: 001249409600002Scopus ID: 2-s2.0-85198362856OAI: oai:DiVA.org:kau-99605DiVA, id: diva2:1857106
Funder
Knowledge Foundation, 20200253Available from: 2024-05-10 Created: 2024-05-10 Last updated: 2024-07-23Bibliographically approved

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Ahmad, Muhammad Ovais

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