Data Analytics for Engineering Student Success and College Operations
As resource constraints have driven calls for more transparency and accountability in higher education, high demand disciplines like engineering are using data sets to justify decisions and shape strategic planning goals. However, engineering is also well-poised to employ data in visual and useful ways to analyze and synthesize years of data and trends. Serving a large undergraduate engineering student body across multiple campuses and encompassing multiple engineering disciplines, the Penn State University’s College of Engineering can gain insights into the student population, faculty, and departments’ needs. The college Data Analytics Team has become proficient at displaying data for decision makers and has become a resource and model for others in the university. Although each academic college has unique datasets that require their own dashboard builds, the Data Analytics Team’s Power BI operations and products are deployable templates in a variety of contexts.
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Work Title Data Analytics for Engineering Student Success and College Operations Access Creators - Robert J. Rabb
- Ivan E. Esparragoza
- Jennifer X. Wu
License In Copyright (Rights Reserved) Work Type Article Publisher - Paper presented at 2025 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada
Publication Date June 22, 2025 Publisher Identifier (DOI) - https://doi.org/10.18260/1-2--56197
Deposited March 02, 2026 Versions
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ASEE_Data_Analytics.pdf -
Added Creator Robert J. Robert
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Added Creator Ivan E. Esparragoza
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Added Creator Jennifer X. Wu
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Updated Publisher, Publication Date Show ChangesPublisherPublication Date
ASEE Annual Conference and Exposition, Conference Proceedings- Paper presented at 2025 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada
2025-01-01- 2025-06-22
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Renamed Creator Robert J. Rabb Show Changes
Robert J. Robert- Robert J. Rabb
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Updated Creator Jennifer X. Wu