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3679. Enhancing Engineering Education: A Novel DEA-Bootstrap Approach for Efficiency and Improvement
Invited abstract in session TA-48: DEA applications in Education and Health II, stream Data Envelopment Analysis and its Application.
Tuesday, 8:30-10:00Room: 60 (building: 324)
Authors (first author is the speaker)
| 1. | Enrique Delahoz-Domínguez
|
| Universidad del Magdalena | |
| 2. | Rohemi Zuluaga-Ortiz
|
| Corporacion Universitaria Empresarial Alexander Von Humboldt | |
| 3. | Tomás Fontalvo-Herrera
|
| Universidad de Cartagena |
Abstract
This study proposes a novel method for assessing engineering programs. It combines Data Envelopment Analysis (DEA) and Bootstrap techniques to evaluate the efficiency of educational institutions. By employing DEA models (CRS and VRS), the approach pinpoints areas where foundational skills for professional development are lacking, revealing opportunities to enhance educational quality. Furthermore, it creates targeted action plans for specific improvements. This data-driven approach fosters accurate and reliable evaluations, promoting continuous improvement in Colombian engineering education. Ultimately, DEA and Bootstrap offer a robust and objective method to optimize educational efficiency, identify best practices, and define achievable learning objectives.
Keywords
- Data Envelopment Analysis
- Education and Distance Learning
- Efficiency Analysis
Status: accepted
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