Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Munster Technological University · Queen Mary University of London · +5 more institutions
Abstract
As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention to these developments by highlighting key application areas of data-driven AI in education; it also analyzes existing tools, research trends, as well as limitations of the role data-driven AI can play in education. In particular, this article reviews various applications of AI in education including student grading and assessments, student retention and drop-out…
Citation impact
- FWCI
- 57.85
- Percentile
- 100%
- References
- 155
Authors
7Topics & keywords
- Computer science
- Salient
- Grading (engineering)
- Data science
- Domain (mathematical analysis)
- Artificial intelligence
- Engineering