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

Authors: Feng Wei

Addresses: Yongcheng Vocational College, Yongcheng 476600, Henan Province, China

Abstract: In order to overcome the problems of low accuracy and long evaluation time of MOOC online English teaching quality evaluation, this paper proposes a MOOC online English teaching quality evaluation method based on fuzzy algorithm. Firstly, the mean method is used to calculate the cluster centre of MOOC online English teaching quality evaluation samples and the evaluation sample selection is realised by outlier detection. Secondly, the 1-9 scale method is used to compare the importance of English teaching quality evaluation indicators, so as to realise the stratification of importance level. The fuzzy discrimination matrix is constructed and the weight vector of the judgement matrix is calculated. Finally, the MOOC online English teaching quality evaluation is realised by fuzzy algorithm. The experimental results show that the accuracy of this method is 98.16%, and the evaluation time is only 1.5 min.

Keywords: variance measure; fuzzy algorithm; 1-9 scale method; fuzzy discriminant matrix; outlier detection.

DOI: 10.1504/IJCEELL.2024.137115

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.2/3, pp.155 - 166

Received: 18 Feb 2022
Accepted: 12 Jul 2022
Published online: 01 Mar 2024 *

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