Vocational education quality and students’ satisfaction: an empirical analysis in the UAE context

Purpose Higher vocational education has gained popularity over the years. The integration of competence orientation in higher education is a current market demand. The purpose of this study is to measure and manage the quality of vocational education and training (VET) in universities as an antecedent of student satisfaction. Design/methodology/approach Literature review highlighted program quality, instructor quality and support service quality as key components of VET quality. Research hypotheses were formulated and tested using empirical data gathered from 112 students enrolled in VET programs in the United Arab Emirates. Partial Least Squares−Structural Equation Modeling and importance−performance analysis were used to process the data. Findings Results revealed the moderated mediating role of VET program quality on the relationship between instructor quality and students’ overall satisfaction. Instructor quality emerged as the most important quality component in the model. Research limitations/implications Future studies can explore other dimensions of VET quality, such as the technological factors, as well as the perceptions of other stakeholders, such as the instructors or the employers. Originality/value This study fills a gap in existing literature by exploring the impact of VET quality components on students’ satisfaction. The findings assist VET institutions in prioritizing areas for improvement and guide decision-makers to develop strategies and allocate resources. The proposed model sheds light on the complex relationships among VET key success factors. This case is a unique one in the country-specific context.

Authors

Institutions

Publication Details

Journal
Quality Education for All
Published
2026-02-17
DOI
https://doi.org/10.1108/qea-12-2024-0149
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vocational education quality and students’ satisfaction: an empirical analysis in the UAE context

Hazem Aldabbas, Adnan Alzoukani, Maria Gianni
Quality Education for All
Higher Education and Employability
article

Vocational education quality and students’ satisfaction: an empirical analysis in the UAE context

Hazem Aldabbas, Adnan Alzoukani, Maria Gianni
article en

Abstract

Purpose Higher vocational education has gained popularity over the years. The integration of competence orientation in higher education is a current market demand. The purpose of this study is to measure and manage the quality of vocational education and training (VET) in universities as an antecedent of student satisfaction. Design/methodology/approach Literature review highlighted program quality, instructor quality and support service quality as key components of VET quality. Research hypotheses were formulated and tested using empirical data gathered from 112 students enrolled in VET programs in the United Arab Emirates. Partial Least Squares−Structural Equation Modeling and importance−performance analysis were used to process the data. Findings Results revealed the moderated mediating role of VET program quality on the relationship between instructor quality and students’ overall satisfaction. Instructor quality emerged as the most important quality component in the model. Research limitations/implications Future studies can explore other dimensions of VET quality, such as the technological factors, as well as the perceptions of other stakeholders, such as the instructors or the employers. Originality/value This study fills a gap in existing literature by exploring the impact of VET quality components on students’ satisfaction. The findings assist VET institutions in prioritizing areas for improvement and guide decision-makers to develop strategies and allocate resources. The proposed model sheds light on the complex relationships among VET key success factors. This case is a unique one in the country-specific context.

Quality Education for AllVol. 3(1)
Hamdan Bin Mohammed Smart University (AE), Higher Colleges of Technology (AE), Fujita Health University (JP)
Openalex Percentile: Top 51%
Higher Education and Employability
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.