Artificial Intelligence in University Marketing: Some Realities and Possible Applications

Modern society is characterized by an accelerated pace of integration of artificial intelligence (AI) in almost all areas of human activity, generating increasingly efficient results, and education is no exception. An effective channel for communicating information and building relationships with potential students and other audiences is the university website, which needs to be adapted both aesthetically and in terms of content to suit user preferences. Research in the field suggests different ways to evaluate the attractiveness of a website in order to improve it. In the present research, it is proposed to use the EyeQuant platform, based on predictive artificial intelligence and algorithms able to simulate the reactions of real users to various visual elements of university websites. The conclusions of the research were based on the results of the evaluation of the first page of the websites of 19 universities present in the higher education system of the Republic of Moldova.

Authors

Publication Details

Journal
Economica
Published
2025-05-01
DOI
https://doi.org/10.53486/econ.2025.131.07
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in University Marketing: Some Realities and Possible Applications

Grigore Belostecinic
1 links
Economica
Big Data and Business Intelligence
article

Artificial Intelligence in University Marketing: Some Realities and Possible Applications

Grigore Belostecinic
article en

Abstract

Modern society is characterized by an accelerated pace of integration of artificial intelligence (AI) in almost all areas of human activity, generating increasingly efficient results, and education is no exception. An effective channel for communicating information and building relationships with potential students and other audiences is the university website, which needs to be adapted both aesthetically and in terms of content to suit user preferences. Research in the field suggests different ways to evaluate the attractiveness of a website in order to improve it. In the present research, it is proposed to use the EyeQuant platform, based on predictive artificial intelligence and algorithms able to simulate the reactions of real users to various visual elements of university websites. The conclusions of the research were based on the results of the evaluation of the first page of the websites of 19 universities present in the higher education system of the Republic of Moldova.

Economica(1)
Openalex Percentile: Top 75%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence in University Marketing: Some Realities and Possible Applications — Grigore Belostecinic · Economica (2025) | TGRS Research Map | TGRS