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.

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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
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article

Generative AI-driven Digital Transformation in Education: Systematic Review and Future Research Directions

Ngoc Dang Khoa Nguyen, N. Bui, Linh Anh Nguyen, Cuong Hoang
2 citations
Artificial Intelligence in Education
1.56
article

Generative AI-driven Digital Transformation in Education: Systematic Review and Future Research Directions

Ngoc Dang Khoa Nguyen, N. Bui, Linh Anh Nguyen, Cuong Hoang
article en
2 citations

Abstract

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.

Van Lang University (VN), Lac Hong University (VN), Central Queensland University (AU), The University of Osaka (JP)
Openalex Percentile: Top 11%
Artificial Intelligence in Education
1.56
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Generative AI-driven Digital Transformation in Education: Systematic Review and Future Research Directions — Ngoc Dang Khoa Nguyen, N. Bui, et al. · (2024) | TGRS Research Map | TGRS