Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners
AbstractGenerative artificial intelligence (GenAI) presents novel approaches to enhance motivation, curriculum structure and development, and learning and retrieval processes for both learners and instructors. Though a focus for this emerging technology is academic misconduct, we sought t...
Saved in:
| Main Authors: | Noahlana Monzon, Franklin Alan Hays |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-03-01
|
| Series: | JMIR Medical Education |
| Online Access: | https://mededu.jmir.org/2025/1/e59210 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging artificial intelligence as a learning tool in higher education
by: Mncedisi Christian Maphalala, et al.
Published: (2025-01-01) -
Synthetic medical education in dermatology leveraging generative artificial intelligence
by: Arya S. Rao, et al.
Published: (2025-05-01) -
Exploring the use of retrieval-augmented generation models in higher education: A pilot study on artificial intelligence-based tutoring
by: Renáta Németh, et al.
Published: (2025-01-01) -
Leveraging gamification to enhance motivation and engagement among EFL learners
by: Yea-Ru Tsai
Published: (2024-12-01) -
Use of Generative Artificial Intelligence tools in higher education environments
by: Diego Seco, et al.
Published: (2025-04-01)