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GPTalk

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

Bibliographic Data

ID21642397
AuthorsIn-Taek Jung (0000-0003-0932-6528, Gwangju Institute of Science and Technology), ChungHa Lee (0000-0002-2041-6957, Gwangju Institute of Science and Technology), In-Chang Baek (0000-0002-9409-9253, Gwangju Institute of Science and Technology), Dongik Oh (0009-0003-2940-3110, Gwangju Institute of Science and Technology), Youjin Choi (0000-0002-4757-3071, Gwangju Institute of Science and Technology), Kyungjoong Kim (Gwangju Institute of Science and Technology), Kyung-Joong Kim (0000-0002-7732-0817), Duk-Jo Kong (0000-0001-8674-8981, Gwangju Institute of Science and Technology, corresponding author), Jin-Hyuk Hong (0000-0002-8838-5667, Gwangju Institute of Science and Technology, corresponding author)
Year2026
Volume210
Pages103754
Publication date2026-03-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Human-Computer Studies (JOURNAL)
Journal identifiersISSN: 1071-5819 • E-ISSN: 1095-9300
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijhcs.2026.103754
OpenAlexW7127037978
LanguageEN
References cited50

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 companions. 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 system, 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

Educational technology · Formative assessment · Metacognition · Peer learning · Task Analysis · Virtual learning environment · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Visual and Cognitive Learning Processes

  • Personal Learning Environments, social media, and self-regulated learning

    Open Access•Nadia Dabbagh, Nada Dabbagh et al.•The Internet and Higher Education•2012

  • How to measure metacognition

    Open Access•Susan M Fleming, Stephen M Fleming et al.•Frontiers in Human Neuroscience•2014

  • Metacognitive theories

    Open Access•Gregory Schraw, David Moshman•Educational Psychology Review•1995

  • Tools for Scaffolding Students in a Complex Learning Environment

    Sadhana Puntambekar, Roland Hübscher•Educational Psychologist•2005

  • A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students

    Open Access•Paul R Pintrich•Educational Psychology Review•2004

  • Assessing Metacognitive Awareness

    Open Access•Gregory Schraw, Rayne Sperling Dennison•Contemporary Educational Psychology•1994

  • The Use of Immersive Virtual Reality in the Learning Sciences

    Jeremy N Bailenson, Nick Yee et al.•Journal of the Learning Sciences•2008

  • Accuracy of metacognitive monitoring affects learning of texts.

    Keith W Thiede, Mary C M Anderson et al.•Journal of Educational Psychology•2003

  • Interacting with educational chatbots

    Open Access•Mohammad Amin Kuhail, Nazik Alturki et al.•Education and Information…•2023

  • Metamemory

    Thomas O Nelson•The Psychology of learning and…•1990

  • A social cognitive view of self-regulated academic learning.

    Barry J Zimmerman•Journal of Educational Psychology•1989

  • Beyond Cold Conceptual Change

    Open Access•Paul R Pintrich, Ronald W Marx et al.•Review of Educational Research•1993

  • Socially shared regulation of learning and participation in social interaction in collaborative learning

    Open Access•Jaana Isohätälä, Hanna Järvenoja et al.•International Journal of…•2017

  • Using chatbots to support student goal setting and social presence in fully online activities

    Open Access•Khe Foon Hew, Weijiao Huang et al.•Journal of Computing in Higher…•2023

  • Becoming a self-regulated learner

    Open Access•Barry J Zimmerman•Contemporary Educational Psychology•1986

  • A short form of the metacognitions questionnaire

    Open Access•Adrian Wells, Sam Cartwright‐Hatton et al.•Behaviour Research and Therapy•2004

  • Does Training on Self-Regulated Learning Facilitate Students' Learning With Hypermedia?

    Roger Azevedo, Jennifer G Cromley•Journal of Educational Psychology•2004

  • Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education

    Open Access•Renée S Jansen, Anouschka Van Leeuwen et al.•Educational Research Review•2019

  • A Review of Self-regulated Learning

    Open Access•Ernesto Panadero•Frontiers in Psychology•2017

  • Assessment and Classroom Learning

    Paul Black, Dylan Wiliam•Assessment in Education:…•1998

  • Interactive Peer Instruction Method Applied to Classroom Environments Considering a Learning Engineering Approach to Innovate the Teaching–Learning Process

    Open Access•Jessica Jazmín Rivadeneira Peñafiel, Esteban Inga•Education Sciences•2023

  • Understanding the user experience of customer service chatbots

    Open Access•Isabel Kathleen Fornell Haugeland, Asbjørn Følstad et al.•International Journal of…•2022

  • Human‐ AI collaboration

    Open Access•Justin Edwards, Andy Nguyen et al.•British Journal of Educational…•2025

  • Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments

    Open Access•Shu-Sheng Liaw, Hsiu-Mei Huang et al.•Computers & Education•2012

  • Metacognition and cognitive monitoring

    John H Flavell•American Psychologist•1979

  • The Power of Feedback

    Open Access•John Hattie, Helen Timperley•Review of Educational Research•2007

  • A General Inductive Approach for Analyzing Qualitative Evaluation Data

    Open Access•Donald R Thomas, David R Thomas•American Journal of Evaluation•2006

  • The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing

    Paul R Pintrich•Theory Into Practice•2002

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