Mar 18, 2024 · In this study, we developed a multi-task model to simultaneously output scores and comments using students' multi-modal artifacts (texts and images) as inputs.
May 6, 2024 · In this study, we developed a multi-task model to simultaneously output scores and comments using students' multi-modal artifacts (texts and ...
Mar 18, 2024 · In this study, we developed a multi-task model to simultaneously output scores and comments using students' multi-modal artifacts (texts and images) as inputs.
For example, an LLM can be used to assess students learning behaviors and status (e.g., whether they experience confusion or have misconceptions that ...
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Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. H Li, C Li, W Xing, S Baral, N Heffernan. Proceedings of the 14th ...
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning . ACM. Accepted, 11/29/2023. Yukyeong Song, Chenglu Li, Wanli Xing ...
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. In Proceedings of the 14th Learning Analytics and Knowledge ...
Published Research - Institute for Advanced Learning Technologies
ialt.education.ufl.edu › Spotlights
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. Abstract Open-ended mathematical problems are a commonly used method ...
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning, Hai Li, Chenglu Li, Wanli Xing, Sami Baral and Neil Heffernan. A Fair ...
This paper study the problem of automatically grading the kinds of open response mathematical questions that figure prominently in STEM courses.