Papers by Bita Akram
Automated Knowledge Component Generation and Interpretable Knowledge Tracing in Coding Problems (2026.findings-acl)
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Zhangqi Duan, Nigel Fernandez, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rafaella Sampaio de Alencar, Peter Brusilovsky, Bita Akram, Andrew Lan
| Challenge: | Existing solutions to automate KC generation and tagging for open-ended programming problems are highly labor-intensive and prone to bias and errors. |
| Approach: | They propose an automated pipeline for KC generation and tagging for open-ended programming problems using large language models. |
| Outcome: | The proposed method outperforms existing ones and outperfies human-written KCs on future student response prediction. |