Title: Evaluation method of diversified teaching effect of higher vocational education based on knowledge map

Authors: Chen Chen; Peisen Song

Addresses: School of Business Administration, Xuzhou College of Industrial Technology, Xuzhou, 221140, China ' School of Business Administration, Xuzhou College of Industrial Technology, Xuzhou, 221140, China; School of Management, China University of Mining and Technology, Xuzhou, 221116, China

Abstract: In order to overcome the problems of low evaluation accuracy and large calculation error of index contribution rate of teaching effect evaluation method, this paper proposes a teaching effect evaluation method based on knowledge map. First, build a diversified teaching effect assessment index system; secondly, the similarity degree of index data is calculated by using naive Bayes algorithm. Then, Lagrange multiplier is introduced to quantify the assess index. Finally, the contribution rate of the indicators is determined through the knowledge map, and the ontology elements are updated and selected to realise the teaching effect assess of vocational education. The experimental results show that the proposed method can improve the assessment accuracy up to 95.8%, and the maximum error of index contribution rate is no more than 1%, indicating that the diversified teaching effect assessment effect of this method is better.

Keywords: knowledge map; higher vocational education; diversified teaching; effect assess; K adjacent; naive Bayes.

DOI: 10.1504/IJSD.2023.134409

International Journal of Sustainable Development, 2023 Vol.26 No.3/4, pp.318 - 328

Received: 01 Dec 2022
Accepted: 23 May 2023
Published online: 20 Oct 2023 *

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