Adapting Self-Regulated Learning in an Age of Generative Artificial Intelligence Chatbots
Open accessAbstract
The increasing use of generative artificial intelligence (GenAI) has led to a rise in conversations about how teachers and students should adopt these tools to enhance the learning process. Self-regulated learning (SRL) research is important for addressing this question. A popular form of GenAI is the large language model chatbot, which allows users to seek answers to their queries. This article seeks to adapt current SRL models to understand student learning with these chatbots. This is achieved by classifying the prompts supplied by a learner to an educational chatbot into learning actions and processes using the process–action library. Subsequently, through process mining, we can analyze these data to provide valuable insights for learners, educators, instructional designers, and researchers into the possible applications of chatbots for SRL.
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- Authors
- Lai, J. W.
- Affiliations
- Nanyang Technological University (SG)
- Corresponding author
- Lai, Joel Weijia
- ORCID
- Lai, Joel Weijia
- Venue
- Future Internet
- Publisher
- MDPI AG
- Published
- 2024-06-20
- Volume
- 16
- Issue
- 6
- Pages
- 218
- ISSN
- 1999-5903 (ISSN-L)
- OpenAlex
- W4399861260
- Semantic Scholar
- 9b16afdda1773ad54dc97fc3929378410c7aa8d6
- Cited by
- 51
- References
- 40
- Citations by year
- 2026: 27 · 2025: 23 · 2024: 1
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Future Internet (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- student self-regulation, generative AI, large language model chatbots, educational chatbots, process mining, student learning
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