Design and assessment of AI-based learning tools in higher education: a systematic review
National University of Singapore · The University of Sydney · +1 more institution
Abstract
Artificial intelligence (AI)-based learning tools are increasingly integrated in higher education, offering benefits such as personalized learning experiences, real-time feedback, and increased flexibility. However, effective design and implementation strategies for these tools are not well established. This study addresses this gap through a systematic literature review with two main objectives: (1) to summarize the design features of AI-based learning tools currently employed in higher education, focusing on aspects such as algorithm types, training datasets, modes of information presentation, and their roles in the learning process; and (2) to assess their impacts on college students’ cognitive,…
Citation impact
- FWCI
- 69.26
- Percentile
- 100%
- References
- 138
Authors
4- JLJihao Luo
National University of Singapore
- CZChenxu Zheng
The University of Sydney
- JYJiamin YinCorresponding
Renmin University of China
- HTHock‐Hai Teo
National University of Singapore
Topics & keywords
- Higher education
- Systematic review
- Computer science
- Mathematics education
- Artificial intelligence
- Psychology
- Political science
- MEDLINE
- Quality Education