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.
Authors
- Zain Kazmi (ORCID: https://orcid.org/0000-0003-3191-9389)
- Natalie Kiesler (ORCID: https://orcid.org/0000-0002-6843-2729)
- John Impagliazzo (ORCID: https://orcid.org/0000-0002-0143-1553)
- Harsh Jhunjhunwala
Institutions
- Hofstra University (US)
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
Funders
- National Science Foundation