1Nguyen Thi Quynh Trang,2Phan Thi Thu
1,2National Academy of Public Administration, Vietnam
DOI : https://doi.org/10.47191/ijmra/v7-i06-48Google Scholar Download Pdf
ABSTRACT:
This study delves into the transformative role of AI in enhancing student learning outcomes in Vietnam, examining both the effectiveness of AI-driven educational technologies and their inclusivity across various learning environments. The research reveals that personalized learning systems and automated assessment tools substantially boost student engagement and learning efficiency. However, significant challenges remain, notably the digital divide and the substantial infrastructure and professional development investments to support widespread AI adoption. The implications of these findings underscore the necessity of strategic management in AI integration to ensure equitable access and effective utilization across all educational sectors. Contributing a nuanced perspective to the discourse on AI in education, this study underscores the potential of AI to revolutionize educational practices while highlighting the critical barriers that must be overcome. It offers concrete recommendations for policymakers, educators, and technology providers to optimize AI's benefits while addressing its challenges. This research provides a foundational analysis for future explorations into strategic AI integration, emphasizing the need to balance technological advancements with equitable educational practices in developing contexts like Vietnam.
KEYWORDS:Artificial Intelligence in Education; Educational Technology Vietnam; AI-driven Learning Outcomes; Digital Divide in Education; Personalized Learning Systems; Automated Assessment Tools
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Volume 07 Issue 06 June 2024
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
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