Implementation Models of Artificial Intelligence in Higher Education Marketing

Andreea Trusca ()
Additional contact information
Andreea Trusca: National University of Physical Education and Sport

Journal of Emerging Trends in Marketing and Management, 2025, vol. 1, issue 4, 29-39

Abstract: As a result of increasing global competition and rapid technological progress, higher education institutions are adopting innovative strategies to increase their visibility and attract potential students. This paper aims to explore how artificial intelligence (AI) is shaping university marketing through an integrative analysis of the practices used and the academic literature. The research uses a qualitative methodology based on a comprehensive review of the specialized literature that analyzes the implementation of AI in higher education marketing. Chatbots, predictive analytics and personalized content delivery systems are among the most widely used AI technologies, and the benefits they offer are numerous: they significantly increase student engagement, improve administrative processes and provide institutional branding strategies. At the same time, generative AI manages to provide personalized educational experiences, thus supporting inclusion and facilitating access to high-quality education, even in the case of universities with limited resources. The study identifies key indicators for assessing the adoption of artificial intelligence in higher education, such as student satisfaction, academic performance, and international collaboration. The paper addresses an important gap in the specialized literature, namely the absence of a systematic and integrated set of indicators that would allow for the objective assessment of how prestigious universities adopt artificial intelligence. The conclusions highlight the transformative potential of AI in educational marketing and recommend a balanced integration between digital innovation and traditional methods to ensure the relevance and competitiveness of institutions. The original contribution consists in proposing a synthetic framework for understanding university marketing based on AI, offering practical solutions.

Keywords: Artificial intelligence; university marketing; digital; higher education branding; personalized communication; social media. (search for similar items in EconPapers)
JEL-codes: I23 M31 O33 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.etimm.ase.ro/RePEc/aes/jetimm/2025/JETIMM_V04_2025_171.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:jetimm:v:1:y:2025:i:4:p:29-39

Access Statistics for this article

More articles in Journal of Emerging Trends in Marketing and Management from The Bucharest University of Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Lucian Onisor ().