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cs.CL2022
EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain
Amir Hadifar, Semere Kiros Bitew, Johannes Deleu +2
We introduce a high-quality dataset that contains 3,397 samples comprising (i) multiple choice questions, (ii) answers (including distractors), and (iii) their source documents, fr…
cs.CL2022★ 26 cited
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx +3
Multiple choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, due to the increased digital literacy of…