Generative AI-driven Digital Transformation in Education: Systematic Review and Future Research Directions
Generative artificial intelligence (AI) has emerged as a transformative force in multiple disciplines, particularly in education amidst the post-COVID-19 era. The systematic review synthesizes findings from 59 peer-reviewed articles published from 2014 to 2024. Through a rigorous analysis, we delve into several benefits and challenges associated with Generative AI-driven digital transformation in education. Notably, Generative AI offers numerous benefits for educational institutions such as tailored learning experiences, improved student engagement, cost-effective learning solutions and so forth. Nevertheless, reaping such benefits often necessitates grappling with challenges, including technological intricacies, ethical consideration and pedagogical implications. These findings gleaned from this review serve as an invaluable resource for researchers and practitioners seeking to harness Generative AI’s potential to optimize teaching and learning performance. Such a review also lays a robust foundation for future research endeavors, paving the way for continued advancements in this domain.
Authors
- Ngoc Dang Khoa Nguyen (ORCID: https://orcid.org/0000-0003-2050-6861)
- N. Bui (ORCID: https://orcid.org/0009-0004-4358-9449)
- Linh Anh Nguyen (ORCID: https://orcid.org/0000-0002-8109-0567)
- Cuong Hoang
Institutions
- Van Lang University (VN)
- Lac Hong University (VN)
- Central Queensland University (AU)
- The University of Osaka (JP)
Publication Details
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1109/iclie61478.2024.11015358
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 1.56