OVERVIEW OF TRENDS IN PERCEPTION RESEARCH AND PRACTICE OF ARTIFICIAL INTELLIGENCE BY UNIVERSITY LECTURERS: AN ANALYSIS FROM SCOPUS DATA

OVERVIEW OF TRENDS IN PERCEPTION RESEARCH AND PRACTICE OF ARTIFICIAL INTELLIGENCE BY UNIVERSITY LECTURERS: AN ANALYSIS FROM SCOPUS DATA

Nguyen Thi Mai Hoa hoantm@hvnh.edu.vn Banking Academy 12 Chua Boc, Kim Lien ward, Hanoi, Vietnam
Summary: 
This study addresses the knowledge gap regarding faculty perceptions and practices of artificial intelligence (AI) in higher education through comprehensive bibliometric analysis. Using data from 245 publications collected from the SCOPUS database during 2016 2024, the study analyzed publication trends, geographical distribution, influential authors and organizations, and research topic development. The results indicate a research boom starting in 2023, with 194 publications (79.2% of total), reflecting the strong impact of generative AI, particularly ChatGPT. Keyword co-occurrence analysis revealed four main research clusters: AI technology and education, perception and attitudes, teaching and learning, and assessment and ethics. The study also identified a significant shortage of review-oriented research (1.2%) in this field. Geographically, the United States leads with 62 publications, followed by Saudi Arabia with 23 publications, reflecting their strategic investments in AI education. Compared with other bibliometric studies, this research confirms the global trend of explosive growth while uniquely focusing on faculty perspectives—a critical gap previously unaddressed. The findings provide important implications for Vietnam and other developing countries in developing AI education policies and faculty training programs.
Keywords: 
Artificial intelligence
university lecturer
bibliometric analysis
ChatGPT
higher education.
Refers: 

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