Dataset On An Evaluation Of Mcqs From Moocs For Common Item Writing Flaws

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本数据集包含从18门涉及医疗健康教育、生命科学与计算机科学领域的大规模开放在线课程（Massive Open Online Courses，MOOCs）中收集的题目数据。研究人员采用文献中记载的评估方案，由两名评估者对204道题目开展了评估工作。结果显示，超过50%的多项选择题（Multiple Choice Questions，MCQs，共112道）存在一项及以上的题目编写缺陷；其中57道多项选择题存在两项及以上编写缺陷。相当比例的多项选择题违反了题目编写规范，这一发现印证了该领域此前针对传统正规教育场景下多项选择题缺陷率的相关研究结论。针对存在编写缺陷的多项选择题问题，可通过培训教职人员掌握题目部署前后的质量核查方法予以解决。本数据集包含一个包含多个工作簿的Excel文件。