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cs.CL2025
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding Is Hinted
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi +3
The primary goal of this study is to develop and evaluate an innovative prompting technique, AnaQuest, for generating multiple-choice questions (MCQs) using a pre-trained large lan…
cs.CL2025
Automatic Feedback Generation for Short Answer Questions using Answer Diagnostic Graphs
Momoka Furuhashi, Hiroaki Funayama, Yuya Iwase +5
Short-reading comprehension questions help students understand text structure but lack effective feedback. Students struggle to identify and correct errors, while manual feedback c…