AI-driven competency recommendations based on attendance patterns and academic performance
This study introduces an Artificial Intelligence (AI) framework that analyzes attendance patterns and learning outcomes to generate personalized competency recommendations (CR). Data from several Indonesian universities covered 22,304 students across 46 courses mapped to 90 competencies. Gradient Bo...
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| Main Authors: | Junaidi, Teguh Wahyono, Irwan Sembiring |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Computers and Education: Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X25000633 |
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