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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...

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Principais autores: Arcanjo Miguel Mota Lopes, Jose Francisco De Magalhaes Netto
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Large language models
cognitive diagnostic models
Q-matrix
DINA model
structural and functional evaluation
Online adgang:https://ieeexplore.ieee.org/document/11481044/
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