Question Difficulty Ranking for Multiple-Choice Reading Comprehension

arXiv:2404.10704v1 Announce Type: new
Abstract: Multiple-choice (MC) tests are an efficient method to assess English learners. It is useful for test creators to rank candidate MC questions by difficulty during exam curation. Typically, the difficulty is determined by having human test takers trial the questions in a pretesting stage. However, this is expensive and not scalable. Therefore, we explore automated approaches to rank MC questions by difficulty. However, there is limited data for explicit training of a system for difficulty …

abstract arxiv creators cs.ai cs.cl curation english exam however human multiple question questions ranking reading stage test tests type