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GPTalk: LLM-based virtual companions for metacognitive growth in self-regulated e-learning

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Author(s)
Jung, In-TaekLee, ChungHaBaek, In-ChangOh, DongikChoi, YoujinKim, KyungJoongKong, Duk-JoHong, Jin-Hyuk
Type
Article
Citation
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.210
Issued Date
2026-03
Abstract
Although students need to self-monitor and manage their learning process for effective metacognition, it can be particularly challenging in solitary e-learning environments that rely on pre-recorded videos. Unlike interactive e-learning or physical classrooms, typical e-learning environments prevent students from interacting with their teachers and peers, thereby hindering metacognitive support. To address this challenge, we introduce GPTalk, a system designed to support students' learning experiences by facilitating interactions with LLM-based virtual com panions. Through interviews with students and teachers, we identified design recommendations and implemented them in GPTalk. A user study involving 32 high-school students demonstrated that, compared to a baseline sys tem, GPTalk fostered richer metacognitive engagement and self-regulated learning processes during video-based study (e.g., more monitoring questions and in-situ reflections), while short-term content understanding accuracy remained comparable across conditions. Overall, our findings suggest that students' interactions with a virtual teacher and peer can support key aspects of their metacognition and self-regulated e-learning processes.
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
ISSN
1071-5819
DOI
10.1016/j.ijhcs.2026.103754
URI
https://scholar.gist.ac.kr/handle/local/33643
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