Factors for choosing Higher Education Institutions: a systematic review of the literature

Every year, many students apply to study for a degree at Higher Education Institutions, particularly in Computer Science or Computer Engineering. Understanding students’ choices when selecting a Higher Education Institution has become a key differentiating factor. This study identifies various factors, their relative importance, and how they vary based on student characteristics and preferences. The findings of this study can be used by Higher Education Institutions to better understand prospective students’ needs and adapt their recruitment strategies accordingly. The review identified 192 candidate studies, of which 14 were analyzed. The analysis of these papers provided evidence of diverse factors influencing students’ choices when selecting Higher Education Institutions. Almost all the analyzed studies used surveys or questionnaires to gather information, and the number of questions asked was highly variable. The analysis of the results suggested that the cost of tuition or education, job offers, and the quality of the degree were the most common choice factors. Higher Education Institutions that can understand the main determinants of students’ choice factors are able to focus their strategies to attract new audiences and to maintain the current ones, through follow-up actions, improvement of processes, and better communication and improve their resources, to better and more effectively achieve their goals.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.02.431
Primary Topic
Innovations in Education and Learning Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors for choosing Higher Education Institutions: a systematic review of the literature

Luisa Barbeiro, Fernanda Brito Correia, Anabela Gomes
Procedia Computer Science
Innovations in Education and Learning Technologies
article

Factors for choosing Higher Education Institutions: a systematic review of the literature

Luisa Barbeiro, Fernanda Brito Correia, Anabela Gomes
article en

Abstract

Every year, many students apply to study for a degree at Higher Education Institutions, particularly in Computer Science or Computer Engineering. Understanding students’ choices when selecting a Higher Education Institution has become a key differentiating factor. This study identifies various factors, their relative importance, and how they vary based on student characteristics and preferences. The findings of this study can be used by Higher Education Institutions to better understand prospective students’ needs and adapt their recruitment strategies accordingly. The review identified 192 candidate studies, of which 14 were analyzed. The analysis of these papers provided evidence of diverse factors influencing students’ choices when selecting Higher Education Institutions. Almost all the analyzed studies used surveys or questionnaires to gather information, and the number of questions asked was highly variable. The analysis of the results suggested that the cost of tuition or education, job offers, and the quality of the degree were the most common choice factors. Higher Education Institutions that can understand the main determinants of students’ choice factors are able to focus their strategies to attract new audiences and to maintain the current ones, through follow-up actions, improvement of processes, and better communication and improve their resources, to better and more effectively achieve their goals.

Procedia Computer ScienceVol. 278
Polytechnic Institute of Coimbra (PT), University of Coimbra (PT)
Quality Education
Openalex Percentile: Top 10%
Innovations in Education and Learning Technologies
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.