Critical analysis of the technological affordances, challenges and future directions of Generative AI in education: a systematic review
Nanjing Normal University · National Taiwan Ocean University · +1 more institution
Abstract
Generative artificial intelligence has been regarded as a transformative tool. While responsible and ethical applications could bring opportunities to education, their misuse could pose demanding challenges. It is necessary to clarify the technological affordances and challenges in a normative way to lay the foundation for future development. This study addressed the dearth of literature by performing a systematic review, aiming to (i) explore the utility and availability from the technological affordances perspective; (ii) summarize the current challenges in risks prevention; and (iii) propose possible directions for future research and practice. A total of 27 academic articles published in core journals…
Citation impact
- FWCI
- 12.08
- Percentile
- 100%
- References
- 38
Authors
3Topics & keywords
- Affordance
- Transformative learning
- Engineering ethics
- Personalization
- Generative grammar
- Normative
- Knowledge management
- Computer science
- Quality Education