1563. Evaluating Teaching Efficiency Through Contingent Faculty Utilization: A DEA Study of a Flagship Public University
Invited abstract in session TC-60: DEA applications in Education, stream Data Envelopment Analysis and its applications.
Tuesday, 12:30-14:00Room: Western LT
Authors (first author is the speaker)
| 1. | Michael Carrillo
|
| Marketing, University of Florida |
Abstract
This study examines instructional efficiency across 16 academic colleges at a flagship public university using Data Envelopment Analysis (DEA) from 2018 to 2024. With rising reliance on non-tenure-track (NTT) faculty, the study investigates how varying faculty compositions and revenue inputs (state appropriations and tuition) translate into key outputs—student credit hours and degrees awarded. DEA, combined with Slack and Malmquist Productivity Index (MPI) analyses, reveals consistently high-performing units (e.g., Business, Journalism, LAS), as well as units with persistent inefficiencies (e.g., Medicine, Dentistry, Vet Med). Findings show that high NTT utilization does not guarantee efficiency; rather, balanced portfolios and output alignment drive performance. The study also surfaces underleveraged instructional capacity and offers strategic implications for hiring, resource allocation, and faculty development. As higher education evolves, this work underscores the need for data-informed decisions to optimize instructional impact while sustaining academic quality and institutional mission alignment.
Keywords
- Data Envelopment Analysis
- Education and Distance Learning
- OR in Education
Status: accepted
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