Applying AI in Academic Activities: An Interdisciplinary Approach and Some International Experiences in the Context of Vietnamese Education
Dublin Core
Title
Applying AI in Academic Activities: An Interdisciplinary Approach and Some International Experiences in the Context of Vietnamese Education
Creator
Phan Thị Hồng Xuân
Proceedings Item Type Metadata
Title
Applying AI in Academic Activities: An Interdisciplinary Approach and Some International Experiences in the Context of Vietnamese Education
meta_title
Applying AI in Academic Activities: An Interdisciplinary Approach and Some International Experiences in the Context of Vietnamese Education
Abstract/Description
This article analyzes the applications of Artificial Intelligence (AI) in academic activities from an interdisciplinary perspective, focusing particularly on teaching and scientific research. The author synthesizes and evaluates global trends, with case studies from Singapore and other developed countries, to draw practical lessons relevant to the context of higher education in Vietnam. The paper highlights the importance of integrated policies, academic ethics, digital competency development, and interdisciplinary collaboration in addressing the challenges that AI poses to the academic ecosystem.
publication_date
2025/06/20
pdf_url
https://insyma.org/proceedings/files/original/62af32e807a860e8e1e88ae16f1b31f7.pdf
abstract_html_url
https://insyma.org/proceedings/items/show/633
keywords
AI, interdisciplinary approach, international experience, higher education, Vietnam
firstpage
1390
lastpage
1393
issn
3047-857X
conference
Proceedings of the International Symposium on Management (INSYMA)
Volume
22
publisher_name
Fakultas Bisnis dan Ekonomika, Universitas Surabaya
Files
Citation
Phan Thị Hồng Xuân, “Applying AI in Academic Activities: An Interdisciplinary Approach and Some International Experiences in the Context of Vietnamese Education,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/633.