| 基金项目:陆军军医大学人文社科基金课题面上项目（2018XRW19） |
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| 中文摘要: |
| 医学慕课（massive open online course，MOOC）质量认定标准是实施医学MOOC质量监控的参考依据。本文采用数据挖掘、定量分析、定性分析等方法，以爱课程（中国大学MOOC）平台中医学课程的评论文本为数据源，挖掘出医学MOOC质量认定标准的一些潜在的指标项；在梳理分析国内外现有的有关MOOC质量评价的研究成果和教育部相关政策基础上，构建了包含课程内容、教学设计等6个一级指标和23个二级指标的医学MOOC质量认定标准；采用专家评分、使用AHP法计算，得出质量认定标准的权重系数；最后阐明了高校医学MOOC质量认定的程序。该认定标准可对高校医学类MOOC进行自我评估和质量监控。 |
| 英文摘要: |
| The medical massive open online course (MOOC) quality certification standard is the reference for the implementation of medical MOOC quality monitoring. This thesis utilizes data mining, quantitative analysis, qualitative analysis and other methods, taking the comment text of the Chinese medicine courses on the Ai Course (MOOC of China Universities) platform as the data source out of which to extract certain potential indicators for the medical MOOC quality certification standard. Based on the analysis of the existing research results on MOOC quality evaluation domestic and abroad as well as the relevant policies of the Ministry of Education, a medical MOOC quality accreditation standard including 6 first-level indicators are formed, including course content, teaching design and so on. Expert scores and AHP method were used to calculate the weight coefficient of the quality certification standard. Finally, this paper explains the procedure of medical MOOC quality certification in college. This certification system can be used to conduct self-assessment and quality monitoring of medical MOOC in colleges and universities. |
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