Original title: AI-Driven Digital Marketing in Higher Education: A Bibliometric Analysis of College Choice Intention Research, 2022–2026
Jusuf Heni, Setyawati Irma, Lestari Rahayu · September 2026
Universities use digital marketing to recruit students, but researchers have treated artificial intelligence and college choice as separate topics. To fix this disconnect, the authors reviewed hundreds of published research papers to map how these two fields connect. They tracked keywords, subjects, and countries to see where the research is heading. They found that research on this topic is exploding. Most of the papers were published very recently. Studies focus heavily on how people accept new technology, looking at technical concepts like behavioural intention. However, critical topics like student recruitment, enrolment decisions, and digital trust are pushed to the edges and rarely studied together. Geographically, China leads the world in publishing this work, showing that research is shifting toward Asia and the Middle East. Finally, the authors advise colleges to test whether tools like chatbots and virtual tours build real trust instead of just measuring user engagement.
Imagine you are a high school student looking at college brochures. You notice that the brochures change every time you visit, showing different programs and promises. It becomes impossible to compare schools because each brochure adapts to what you searched last time. In this paper, the researchers study how AI-powered marketing by universities—like personalized ads and chatbots—creates a similar shifting landscape, making it hard for students to trust the information and decide where to apply.
Universities are rushing to use AI chatbots and virtual tours to recruit students, but this analysis shows that simply driving engagement is not enough—what matters is whether those tools feel authentic and trustworthy. The research also reveals a global shift: China now produces a quarter of the scholarship, indicating that knowledge on AI-driven recruitment is moving from the West to Asia and the Middle East.
The study only analyzed articles from one database (Scopus) and only those written in English. This means important findings that appear in conference proceedings or other languages might be missing. Also, bibliometric analysis shows patterns in published research but does not evaluate the effectiveness of the AI marketing tools themselves.
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AI-Driven Digital Marketing in Higher Education: A Bibliometric Analysis of College Choice Intention Research, 2022–2026 — Jusuf Heni, Setyawati Irma, Lestari Rahayu — International Journal of Current Science Research and Review — doi:10.5281/zenodo.22874708
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.