Work in Progress: Analysis of Industry-Education Relational Datasets

This work-in-progress paper explores industry datasets and how educators could utilize them in computing and engineering education. The effort offers helpful insights for educators, employers, policymakers, and constituents involved in workforce development. The industry-education dynamics through data-driven approaches enable professionals to enact ways to promote collaboration between industry needs and educational outcomes for a more robust and competitive workforce. The authors investigate the analysis of industry datasets to explore the dynamics, challenges, and opportunities in relationship with education. By examining relevant data, including employment trends, skills and competency requirements, educational outcomes, and industry demands, this study and the associated DEAPening Employer Academic Partnerships (DEAP) project seek to provide insights into ways education systems can better align with the needs of industries to foster a more skilled and adaptable workforce. This effort features the significance of industry-education relationships and highlights important datasets gathered within the DEAP project.

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Publication Details

Published
2025-03-23
DOI
https://doi.org/10.1109/edunine62377.2025.10980833
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00

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article

Work in Progress: Analysis of Industry-Education Relational Datasets

Zain Kazmi, Natalie Kiesler, John Impagliazzo, Harsh Jhunjhunwala
Higher Education and Employability
article

Work in Progress: Analysis of Industry-Education Relational Datasets

Zain Kazmi, Natalie Kiesler, John Impagliazzo, Harsh Jhunjhunwala
article en

Abstract

This work-in-progress paper explores industry datasets and how educators could utilize them in computing and engineering education. The effort offers helpful insights for educators, employers, policymakers, and constituents involved in workforce development. The industry-education dynamics through data-driven approaches enable professionals to enact ways to promote collaboration between industry needs and educational outcomes for a more robust and competitive workforce. The authors investigate the analysis of industry datasets to explore the dynamics, challenges, and opportunities in relationship with education. By examining relevant data, including employment trends, skills and competency requirements, educational outcomes, and industry demands, this study and the associated DEAPening Employer Academic Partnerships (DEAP) project seek to provide insights into ways education systems can better align with the needs of industries to foster a more skilled and adaptable workforce. This effort features the significance of industry-education relationships and highlights important datasets gathered within the DEAP project.

Hofstra University (US)
National Science Foundation
Decent work and economic growth
Openalex Percentile: Top 90%
Higher Education and Employability
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