Title: A quality evaluation model of distance assisted instruction based on AHP and entropy weight method

Authors: Yu Cao; Shu-wen Chen; Jie Zhao

Addresses: School of Mathematics and Information Technology, Jiangsu Second Normal University, Nanjing 210013, China ' School of Mathematics and Information Technology, Jiangsu Second Normal University, Nanjing 210013, China ' School of Mathematics and Information Technology, Jiangsu Second Normal University, Nanjing 210013, China

Abstract: In this paper, a distance-assisted teaching quality assessment model based on AHP and entropy weight method was constructed. First, we construct the quality evaluation system of distance auxiliary teaching, thereby obtaining the evaluation indicators. Then, we construct the evaluation index judgement matrix of AHP according to the scale of the judgement matrix, and use the square root method to calculate the quality evaluation index of distance auxiliary teaching after the consistency test of the judgement matrix through CI. The weight coefficient is used to calculate the entropy weight of each evaluation index by using the entropy weight method. Finally, fuzzy comprehensive evaluation method is used to construct the quality evaluation model of distance-assisted teaching, and the evaluation results are obtained. The simulation experiment results show that the constructed model has higher accuracy and shorter evaluation time for remote assisted teaching quality assessment.

Keywords: analytic hierarchy process; AHP; entropy weight method; distance assisted instruction; quality evaluation.

DOI: 10.1504/IJCEELL.2024.137107

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.2/3, pp.252 - 263

Received: 02 Apr 2022
Accepted: 12 Jul 2022
Published online: 01 Mar 2024 *

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