Title: Evaluation of teaching effectiveness in higher education based on social networks

Authors: Xiyang Li; Quanzhong Yang

Addresses: College of Fine Arts and Design, Hunan City University, Yiyang, Hunan, 413000, China ' College of Medical Technology, Luoyang Polytechnic, Luoyang, 471000, China

Abstract: The evaluation of educational and teaching effectiveness is beneficial for universities to understand the current teaching situation, formulate reasonable teaching strategies, and improve teaching quality. Therefore, a social network-based evaluation method for educational and teaching effectiveness in universities is proposed. First, we analyse the role of teaching effectiveness evaluation and design the principles for constructing a teaching effectiveness evaluation index system. Then, we calculate the entropy matching degree of evaluation indicators, set consistency criteria for evaluation indicators, and use SVM algorithm to classify evaluation indicators, constructing an evaluation indicator system. Finally, we construct a social network for teaching effectiveness evaluation, determine the subgroup cohesion of evaluation indicators, construct an education and teaching effectiveness evaluation function, and obtain the evaluation results. The experimental results show that the confidence level of the evaluation results of this method is high, and the matching error of the entropy value of the evaluation indicators is low.

Keywords: social network; the effectiveness of higher education and teaching; indicator system; entropy matching degree.

DOI: 10.1504/IJNVO.2024.136771

International Journal of Networking and Virtual Organisations, 2024 Vol.30 No.1, pp.1 - 14

Received: 08 May 2023
Accepted: 06 Aug 2023
Published online: 21 Feb 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article