Learning to Reuse Distractors to Support Multiple Choice Question Generation in Education
Author:
Affiliation:
1. Text-to-Knowledge (T2K) team at IDLab, Ghent University-imec, Belgium
2. LynxCare, Belgium
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,General Engineering,Education
Link
http://xplorestaging.ieee.org/ielx7/4620076/4620077/09969921.pdf?arnumber=9969921
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18
2. ChatGPT als Unterstützung von Lehrkräften – Einordnung, Analyse und Anwendungsbeispiele;HMD Praxis der Wirtschaftsinformatik;2024-02-29
3. Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking;IEEE Transactions on Learning Technologies;2024
4. Improving Learner's Comprehension Using Entailment-Based Question Generation;2022 5th International Conference on Computational Intelligence and Networks (CINE);2022-12-01
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