Empowering Learners: GenIA and Their Impact on Self-regulated learning
Self-regulated learning plays a crucial role in mitigating dropout rates and the risk of failure in the e-learning experience. However, when learners are left to their own devices, they can become frustrated and fatigued, often due to a lack of effective self-regulation techniques. The growing popul...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01004.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Self-regulated learning plays a crucial role in mitigating dropout rates and the risk of failure in the e-learning experience. However, when learners are left to their own devices, they can become frustrated and fatigued, often due to a lack of effective self-regulation techniques. The growing popularity of generative AI, its flexibility, and its accessibility through various free chat tools offer learners opportunities to interact and receive feedback on their learning processes. This article proposes a study on the diverse relationship between AI and self-regulated learning, exploring how AI can assist learners in managing their learning strategies, setting goals, monitoring progress, and regulating cognitive and affective processes. |
|---|---|
| ISSN: | 2271-2097 |