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Evaluation of MCQs from MOOCs for common item writing faws

Costello, Eamon orcid logoORCID: 0000-0002-2775-6006, Holland, Jane and Kirwan, Colette (2018) Evaluation of MCQs from MOOCs for common item writing faws. BMC Research Notes, 11 (849). pp. 1-3. ISSN 1756-0500

Abstract
Objective: There is a dearth of research into the quality of assessments based on Multiple Choice Question (MCQ) items in Massive Open Online Courses (MOOCs). This dataset was generated to determine whether MCQ item writing faws existed in a selection of MOOC assessments, and to evaluate their prevalence if so. Hence, researchers reviewed MCQs from a sample of MOOCs, using an evaluation protocol derived from the medical health education literature, which has an extensive evidence-base with regard to writing quality MCQ items. Data description: This dataset was collated from MCQ items in 18 MOOCs in the areas of medical health education, life sciences and computer science. Two researchers critically reviewed 204 questions using an evidence-based evaluation protocol. In the data presented, 50% of the MCQs (112) have one or more item writing faw, while 28% of MCQs (57) contain two or more faws. Thus, a majority of the MCQs in the dataset violate item-writing guidelines, which mirrors fndings of previous research that examined rates of faws in MCQs in traditional formal educational contexts.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:MOOCs; MCQs; Quality; Item writing; Tests; Pedagogy
Subjects:Social Sciences > Distance education
Social Sciences > Education
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > NIDL (National Institute for Digital Learning)
Publisher:Springer Nature
Official URL:https://doi.org/10.1186/s13104-018-3959-4
Copyright Information:© 2018 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:22834
Deposited On:07 Dec 2018 16:15 by Thomas Murtagh . Last Modified 28 Jan 2020 13:59
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