Artificial Intelligence Applications in Entrepreneurship and Online Education: Insights from Bibliometric and Topic Modeling Analyses

Abstract

Introduction: The convergence of AI, entrepreneurship, and online education has accelerated, yet their intersection remains under-mapped. Methods: We analyzed 489 peer-reviewed articles (2010-2024) from Scopus and Web of Science using Bibliometrix for bibliometrics and LDA topic modeling (Gensim/pyLDAvis). Results: Five thematic clusters emerged; "Teaching and Pedagogical Innovations" and "Innovative Learning Models & Entrepreneurship" were most prominent. China, the UK, and the US were leading contributors. Topic trajectories show rising emphasis on AI-enabled pedagogy and digital integration. Discussion: The dual bibliometric-semantic approach reveals underexplored themes and actionable directions for digital entrepreneurship and AI-enhanced education, informing policy and institutional strategy.