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本数据集收录了来自18门大规模开放在线课程（Massive Open Online Courses，MOOCs）中，涉及医学健康教育、生命科学与计算机科学领域的试题数据。本数据集内的204道试题由两名评估者依据已发表文献中的评估方案完成评测。其中超过50%的多项选择题（Multiple Choice Questions，MCQs）（共112道）被检出存在1项及以上的试题编写缺陷；另有57道多项选择题存在2项及以上的编写缺陷。相当比例的多项选择题违反了试题编写规范，这一结果验证了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。可通过对教职人员开展试题上线前后的质量核查培训，来解决多项选择题存在编写缺陷的问题。本数据集以Excel文件形式存储，内含多个工作簿。