Misconception-Aware Prompting Can Generate Authentic Analytical Multiple-Choice Questions

Although automatic multiple-choice question (MCQ) generation has been extensively studied, generating MCQs that require deep reasoning remains underexplored. This study aims to develop a framework for automatically constructing Analytical Multiple-Choice Questions (Analytical MCQs) using a pre-train...

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Bibliografski detalji

Glavni autori:	Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Access
Teme:	Analytical multiple-choice questions educational question generation item response theory large language model prompt engineering
Online pristup:	https://ieeexplore.ieee.org/document/11475449/
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