Abstract
Multiple-choice questions (MCQs) are widely used in the assessment of higher education students, with the ability to evaluate various cognitive domains. However, the scientific literature indicates that many MCQs do not conform to best practice guidelines, compromising the validity and reliability of the assessment process. This work focuses on the technical component of constructing one-best-answer MCQs, presenting a consolidated list of 18 quality criteria derived from the literature. This resource was used in the training of 176 higher education faculty members from multiple disciplines, who expressed positive opinions and indicated their intention to integrate it into their assessment practices.
Translated title of the contribution | INOValiar: consolidated list of quality criteria for multiple-choice questions in learning assessment |
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Original language | Portuguese (Brazil) |
Pages (from-to) | 122-139 |
Number of pages | 18 |
Journal | Meta: Avaliacao |
Volume | 17 |
Issue number | 54 |
DOIs | |
Publication status | Published - Jan 2025 |