Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features
Educational platforms often predict student performance from prior interactions, but the assessment content itself also varies in linguistic and visual complexity. This paper studies whether lightweight content features extracted from CourseKata chapter-review questions improve prediction of end-of-chapter quiz scores beyond a student's average prior exercise performance. The study combines 2023 CourseKata student response data with chapter-level text features from review-question wording and image features from textbook visuals. Across 4,742 student-chapter observations from 562 class-student IDs, adding content features improves student-grouped five-fold quiz prediction performance by 9...
| Authors | Samin Khan |
|---|---|
| Primary category | cs.CY |
| Published | 28 May 2026 |
| Last updated at source | 28 May 2026 |
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