Enhancing the measurement of employability in engineering: insights from a systematic literature review

Enhancing graduate employability is a growing priority in higher education, yet how to conceptualise and assess it remains contested. This study identifies key limitations in employability assessment within the discipline of engineering based on a systematic review of 26 existing measurement instruments. Six critical insights for developing robust measures are identified: 1) conceptual clarity and consensus, 2) discipline (and sub-discipline) specificity, 3) holistic developmental foci, 4) translational rigour in operational definitions, 5) rigorous empirical validation, and 6) robust and apposite reporting mechanisms. Building on these insights, we recommend that employability measurement in engineering shift from short-term industry alignment toward future-oriented approaches that prioritise adaptability and long-term value for graduates, employers, and society. Additionally, higher education institutions should adopt comprehensive, validated frameworks and foster collaboration across academia, industry, and policymakers to improve employability measurement in engineering education.

Authors

Institutions

Publication Details

Journal
European Journal of Engineering Education
Published
2025-05-09
DOI
https://doi.org/10.1080/03043797.2025.2502473
Citations
1
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing the measurement of employability in engineering: insights from a systematic literature review

Andrew Valentine, Sally Male, Elaine Chapman, Siqi Zhan
1 citations
European Journal of Engineering Education
Higher Education and Employability
8.93
article

Enhancing the measurement of employability in engineering: insights from a systematic literature review

Andrew Valentine, Sally Male, Elaine Chapman, Siqi Zhan
article en
1 citations

Abstract

Enhancing graduate employability is a growing priority in higher education, yet how to conceptualise and assess it remains contested. This study identifies key limitations in employability assessment within the discipline of engineering based on a systematic review of 26 existing measurement instruments. Six critical insights for developing robust measures are identified: 1) conceptual clarity and consensus, 2) discipline (and sub-discipline) specificity, 3) holistic developmental foci, 4) translational rigour in operational definitions, 5) rigorous empirical validation, and 6) robust and apposite reporting mechanisms. Building on these insights, we recommend that employability measurement in engineering shift from short-term industry alignment toward future-oriented approaches that prioritise adaptability and long-term value for graduates, employers, and society. Additionally, higher education institutions should adopt comprehensive, validated frameworks and foster collaboration across academia, industry, and policymakers to improve employability measurement in engineering education.

European Journal of Engineering EducationVol. 51(1)
The University of Melbourne (AU), The University of Western Australia (AU)
Decent work and economic growth
Openalex Percentile: Top 4%
Higher Education and Employability
8.93
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.