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Leveraging ChatGPT in inquiry-based learning

Effects of generated personalized prompts on self-reflection

Bibliographic Data

ID21744265
AuthorsPin‐Hui Li (0009-0000-4891-9372, National Cheng Kung University), Ting‐ting Wu (0000-0003-4970-7042, National Yunlin University of Science and Technology), Shu-Chen Wang (0009-0003-5784-6349, National Cheng Kung University), Chia‐Ju Lin (0000-0002-2321-1834, National Cheng Kung University), Yueh-Min Huang (0000-0001-7052-1272, National Cheng Kung University, corresponding author)
Year2025
Pages1-19
Publication date2025-12-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Research on Technology in Education (JOURNAL)
Journal identifiersISSN: 1539-1523 • E-ISSN: 1945-0818
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15391523.2025.2586518
OpenAlexW4416929853
LanguageEN
Citations received1
References cited60

Self-reflection is a crucial bridge that connects learning experiences with knowledge construction, and it plays a vital role in enhancing higher-order thinking. This study developed a personalized reflective system that integrates generative AI, called Reflective GPT (RGPT), to investigate its effects on students’ learning outcomes and reflective processes in inquiry-based learning. RGPT provides personalized reflective prompts at each stage of inquiry to promote deep learning and strategic adjustment. The results showed that RGPT significantly improved behavioral and cognitive engagement, as well as students’ problem-solving and critical thinking skills. Moreover, students demonstrated more structured and coherent reflective processes, confirming the effectiveness of personalized prompts in supporting deep thinking. Overall, RGPT facilitates deep learning and metacognitive regulation, offering a new model and valuable contribution to AI-assisted instruction

Computer-Assisted Instruction · Computer-mediated communication · Educational technology · Electronic learning · Mobile device · Technology integration · Artificial Intelligence in Healthcare and Education · Educational Strategies and Epistemologies · Intelligent Tutoring Systems and Adaptive Learning

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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