Large Language Models for Learning Technologies: Structural and Functional Evaluation of Automated Q-Matrix Generation for Educational Assessment
Linking assessment items to knowledge components (KCs) is essential for adaptive learning and cognitive diagnosis but remains a labor-intensive and expert-dependent process. This study investigates the use of Large Language Models (LLM) to automate item–KC association through Q-matrix generat...
保存先:
| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2026-01-01
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| シリーズ: | IEEE Access |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/11481044/ |
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