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A MOOC online teaching quality evaluation method based on fuzzy algorithm
被引:0
|作者:
Guo, Yang
[1
]
机构:
[1] Changchun Coll Elect Technol, Sch Marxism, Changchun 130000, Peoples R China
来源:
关键词:
fuzzy algorithm;
MOOC online teaching;
quality evaluation;
consistency test;
SYSTEM;
D O I:
10.1504/IJCEELL.2024.137106
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
MOOC is a new method of online evaluation, which takes a long time to evaluate the quality of traditional teaching. For MOOC online teaching quality, an evaluation system is established under the principle of evaluation index selection and 19 evaluation indexes such as interface and navigation, knowledge management function, reminder function and mobile terminal function are obtained. After preprocessing the obtained evaluation indexes, the evaluation factor set is determined, then the evaluation index weight is calculated according to the index weight evaluation standard, and its consistency is tested. Finally, according to the test results, the MOOC online teaching quality evaluation model is established under the fuzzy evaluation rules. The experiment shows that the evaluation accuracy of the proposed method can reach 98%, the evaluation effect is good, and the evaluation time is short.
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页码:275 / 285
页数:12
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