Supporting students’ self-regulated learning in online learning using artificial intelligence applications
Hanbat National University · Kyungil University · +2 more institutions
Abstract
Abstract Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in supporting learners’ self-regulation in online learning by measuring and augmenting SRL, but research in this area is still in its early stages. The purpose of this study is to explore students’ perceptions of the use of AI applications to support SRL and to identify the pedagogical and psychological aspects that they perceive as necessary for effective…
Citation impact
- FWCI
- 98.17
- Percentile
- 100%
- References
- 68
Authors
5Topics & keywords
- Self-regulated learning
- Metacognition
- Context (archaeology)
- Exploratory research
- Psychology
- Mathematics education
- Perception
- Computer science
- Quality Education