Title: Performance evaluation of higher education management under the background of knowledge management

Authors: Xun Mo

Addresses: Faculty of Applied Technology, Huaiyin Institute of Technology, Huai'an, 223001, China

Abstract: In view of the shortcomings of the accuracy and objectivity of the current higher education management performance evaluation methods under the background of KM, this paper studied and constructed the education management performance evaluation model. On this basis, a back propagation neural network (BPNN) model based on the improved whale optimisation algorithm (IWOA) was proposed for fitting the index data. The experimental results showed that the number of iterations required by the IWOA-BPNN model was only 68; the F1 value was 0.961; the recall value was 0.950; the fitness degree was 0.948; the MSE was 0.463; the MAE was 8.53; the accuracy rate was 0.985 and the AUC value was 0.912, all of which were superior to the most advanced intelligent evaluation method of educational management performance. The above results show that the evaluation model based on IWAO-BPNN can accurately and effectively realise the intelligent evaluation of educational management performance.

Keywords: knowledge management; KM; performance evaluation; indicator system; back propagation neural network; BPNN; improved whale optimisation algorithm; IWOA.

DOI: 10.1504/IJWET.2024.138120

International Journal of Web Engineering and Technology, 2024 Vol.19 No.1, pp.88 - 105

Received: 08 Dec 2023
Accepted: 04 Feb 2024
Published online: 29 Apr 2024 *

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