Research Article
Research on Quality Evaluation of MOOCs Production Based on Analytic Hierarchy Process
@INPROCEEDINGS{10.4108/eai.8-9-2023.2340032, author={Xiaoyang Liu and Long Xu and Xiangeng Shen}, title={Research on Quality Evaluation of MOOCs Production Based on Analytic Hierarchy Process}, proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China}, publisher={EAI}, proceedings_a={ICMEIM}, year={2023}, month={11}, keywords={moocs production quality evaluation analytic hierarchy process}, doi={10.4108/eai.8-9-2023.2340032} }- Xiaoyang Liu
Long Xu
Xiangeng Shen
Year: 2023
Research on Quality Evaluation of MOOCs Production Based on Analytic Hierarchy Process
ICMEIM
EAI
DOI: 10.4108/eai.8-9-2023.2340032
Abstract
In order to solve the problems of uneven production level and homogenization of courses, the analytic hierarchy process is adopted to evaluate and analyze the quality of MOOCs production. Combined with expert opinions and literature research, the evaluation model of MOOCs making quality is established, and the judgment matrix is constructed. The sum method is used to complete the calculation of each weight index and the consistency test of the model. The test shows that the hierarchical model is relatively reasonable and each weight index is correct and effective. According to the evaluation needs, the calculation method of relevant index scores is provided, which has certain guiding significance and application value for the quality evaluation of MOOCs.
