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This dataset is comprised of data collected from questions in 18 MOOCs in the areas of medical health education, life sciences and computer science. 204 questions were evaluated by two evaluators using an evaluation protocol from the literature. Over 50% of the MCQs (112) were found to have one or more item writing flaw; 57 of the MCQs contained two or more flaws. A considerable proportion of the MCQs were found to violate item-writing guidelines, which confirms findings of previous research in this area that examined rates of flaws in MCQs in traditional formal educational contexts. The issue of flawed MCQs can be addressed by training faculty in how to conduct quality checks before before and after their deployment. The data consists of an Excel file with several workbooks
MOOCs, MCQs, Education, Tests, Evaluation, Pedagogy
MOOCs, MCQs, Education, Tests, Evaluation, Pedagogy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 16 | |
| downloads | 7 |

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Downloads provided by UsageCounts