TY - JOUR
T1 - AI in higher education
T2 - A bibliometric analysis, synthesis, and a critique of research
AU - Lachheb, Ahmed
AU - Leung, Javier
AU - Abramenka-Lachheb, Victoria
AU - Sankaranarayanan, Rajagopal
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/10
Y1 - 2025/10
N2 - To better characterize and understand AI in higher education and its role in relation to educational disparities and inclusivity, this paper presents a comprehensive bibliometric assessment of research on AI in higher education. Using quantitative topic modeling and qualitative analysis methods, this study describes: (1) the research landscape of AI in higher education and (2) the common topics of AI in higher education research, including topics related to inclusive education. Based on these descriptions, this study offers a synthesis and critique of research on AI in higher education on the following issues: (a) the use of AI to address educational disparities and foster inclusivity, (b) the ethics of AI-powered large language learning models and translation tools, and (c) AI literacy. The findings of this study call on higher education scholars/researchers to reaffirm higher education research and educational mission, and the standards of rigorous research to lead the knowledge on AI.
AB - To better characterize and understand AI in higher education and its role in relation to educational disparities and inclusivity, this paper presents a comprehensive bibliometric assessment of research on AI in higher education. Using quantitative topic modeling and qualitative analysis methods, this study describes: (1) the research landscape of AI in higher education and (2) the common topics of AI in higher education research, including topics related to inclusive education. Based on these descriptions, this study offers a synthesis and critique of research on AI in higher education on the following issues: (a) the use of AI to address educational disparities and foster inclusivity, (b) the ethics of AI-powered large language learning models and translation tools, and (c) AI literacy. The findings of this study call on higher education scholars/researchers to reaffirm higher education research and educational mission, and the standards of rigorous research to lead the knowledge on AI.
KW - Artificial intelligence in higher education
KW - Generative AI in higher education
KW - Inclusive education with AI
UR - https://www.scopus.com/pages/publications/105008228363
U2 - 10.1016/j.iheduc.2025.101021
DO - 10.1016/j.iheduc.2025.101021
M3 - Article
AN - SCOPUS:105008228363
SN - 1096-7516
VL - 67
JO - Internet and Higher Education
JF - Internet and Higher Education
M1 - 101021
ER -
