Title: A MOOC online teaching quality evaluation method based on fuzzy algorithm

Authors: Yang Guo

Addresses: School of Marxism, Changchun College of Electronic Technology, Changchun 130000, China

Abstract: 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.

Keywords: fuzzy algorithm; MOOC online teaching; quality evaluation; consistency test.

DOI: 10.1504/IJCEELL.2024.137106

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.2/3, pp.275 - 285

Received: 25 Apr 2022
Accepted: 12 Jul 2022
Published online: 01 Mar 2024 *

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