ABSTRACT
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.