Faculty engagement and artificial intelligence: Bibliometric analysis and recent trends

Abstract

This paper presents a bibliometric investigation of research linking faculty engagement and artificial intelligence (ai) over the period 2014–2025, using scopus as the primary data source. Analytical tools, including vosviewer, were employed to trace publication growth, citation trends, and collaborative networks, as well as to uncover intellectual foundations and thematic developments. The results indicate a sharp increase in scholarly attention after 2020, with the years 2023–2025 marking the highest levels of research activity. Countries like the united states, united kingdom, canada, india, and china emerged as leading contributors, while brazil demonstrated notable impact through highly cited publications despite fewer outputs. Key contributions from scholars including borges, braganza, and koo provided pivotal theoretical grounding for subsequent studies. Thematic clustering revealed that research in this area has expanded from early discussions of technological adoption to broader concerns involving pedagogy, institutional leadership, workload distribution, ethical considerations, and the gigification of academic roles. Although the study is limited by its reliance on a single database and the dynamic nature of citation metrics, it offers novel insights by systematically integrating two fields that have rarely been examined together. The originality of the study lies in mapping how ai is shaping faculty engagement in higher education and in identifying knowledge gaps that open pathways for future interdisciplinary and practice-oriented research.