Article
Optimizing GPT-Based Distractor Generation for the Korean CSAT English Exam
2025-09-18
Abstract excerpt
<title>Abstract</title> <p>High-quality distractors are essential in multiple-choice questions to assess student understanding and diagnose misconceptions; however, constructing these distractors manually is labor-intensive. This study presents the first large-scale investigation of automated distractor generation (ADG) for the English section of Korea’s College Scholastic Ability Test (CSAT), a high-stakes exam...
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Identifiers and source
- Literature Corpus work
- 2a8a7cbf-8931-5b54-91c1-08ba8b155d55
- DOI
- 10.21203/rs.3.rs-6680435/v1
