Title: An intelligent evaluation model of bilingual teaching quality based on network resource sharing

Authors: Li Qian; Zachary Perez

Addresses: Foreign Language Department, AnKang University, AnKang, 725000, China ' School of Humanities and Social Sciences, University of Central Lancashire, Preston, Lancashire, UK

Abstract: Aiming at the poor application performance of traditional model for bilingual teaching quality evaluation, this paper proposes a model construction method of bilingual teaching quality evaluation based on network resource sharing. The evaluation indicators are selected reasonably, and an intelligent evaluation model of bilingual teaching quality based on network resource sharing is constructed. The evaluation indicators in the model are compared and weighted by analytic hierarchy process (AHP), and a fuzzy comprehensive evaluation matrix is established. The bilingual teaching quality evaluation has been realised. The experimental results show that the fluctuation range of evaluation error is between 1.6 and 1.7, and the evaluation error is small. Through the questionnaire survey, it is found that the time for teachers to compile teaching plans is shortened by 0.4 hours, the students' scores are improved by 1.5 points, the quality of bilingual teaching is improved, and the satisfaction of teachers and students is improved.

Keywords: resource sharing; bilingual teaching; teaching quality evaluation; indicators; hierarchical analysis.

DOI: 10.1504/IJCEELL.2020.106345

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.2, pp.148 - 160

Received: 11 Mar 2019
Accepted: 16 May 2019

Published online: 02 Apr 2020 *

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