An Integrated Model for Predicting Student Achievement Efficiency Using Data Envelopment Analysis and Genetic Programming Approach
Data Envelopment Analysis (DEA) is effective in evaluating efficiency across various domains, including education. However, traditional DEA methods face challenges such as computational complexity and limited predictive capabilities. This study addresses these limitations by integrating Automated Ma...
| Published in: | 2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209627690&doi=10.1109%2fAiDAS63860.2024.10729908&partnerID=40&md5=1d0021cc47d69a93669ed71c1eca997d |