A qualitative systematic review on AI empowered self-regulated learning in higher education
Abstract This systematic review explores the burgeoning intersection of Artificial Intelligence (AI) applications and self-regulated learning (SRL) in higher education. Aiming to synthesize empirical studies, we employed a qualitative approach to scrutinize AI’s role in supporting SRL processes. Thr...
Saved in:
| Main Authors: | Min Lan, Xiaofeng Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | npj Science of Learning |
| Online Access: | https://doi.org/10.1038/s41539-025-00319-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and assessment of AI-based learning tools in higher education: a systematic review
by: Jihao Luo, et al.
Published: (2025-07-01) -
A Systematic Review Exploring AI’s Role in Self-Regulated Learning Within Education Contexts
by: Liling Ren, et al.
Published: (2025-01-01) -
Empowering Learners: GenIA and Their Impact on Self-regulated learning
by: Safsouf Yassine, et al.
Published: (2024-01-01) -
Exploring How AI Literacy and Self-Regulated Learning Relate to Student Writing Performance and Well-Being in Generative AI-Supported Higher Education
by: Jiajia Shi, et al.
Published: (2025-05-01) -
Empowering Educators: Operationalizing Age-Old Learning Principles Using AI
by: Julaine Fowlin, et al.
Published: (2025-03-01)