FUZZY EVALUATION OF ONLINE TEACHING QUALITY BASED ON G1 ENTROPY METHOD: TAKING THE PERIOD OF COVID-19 AS THE CASE

Jiongjiong Fan 1

Article Id - IJSSRD_05_01_003, Pages : 22-41, Date of Publication : 23, May 2023

DOI: https://doi.org/10.17605/OSF.IO/DRH7V   12 Downloads   114 Views   0 Citation
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Abstract

As COVID-19 pandemic continues to spread around the world, online teaching has become an important way for home-based college education. However, the teaching effect of online teaching is not satisfactory because teachers and students are not familiar with the development mode of online education and the operations of using network hardware, teaching platform, and electronic books. Therefore, it has become a hot topic of international and domestic academicians to against the impacts and challenges brought by COVID-19 pandemic on college education, to summarize the main factors affecting the online education from a systematic and scientific perspective, and to formulate scientific and reasonable countermeasures to effectively improve the quality of online college education. In this context, this work analyzes the problems and difficulties of online college education during the COVID-19 epidemic and builds the index system that affects the online college education. In addition, the index importance calculation method based on G1 method and entropy value method is proposed and verified by practical cases to improve the applicability of online college education. The paths and countermeasures of online education reform in colleges and universities during COVID-19 epidemic proposed in this work can provide practical support to formulate the targeted online education measures for local governments and international and domestic colleges and universities.

Keywords

Covid-19; Online Education Reform; Index System; Entropy Value Method; G1 Method

Share and Cite:

Jiongjiong Fan, Fuzzy Evaluation of Online Teaching Quality Based on G1 Entropy Method: Taking the Period of Covid-19 as the Case, International Journal of Social Sciences Research and Development, 5(1), 2023, pp. 22-41 doi: https://doi.org/10.17605/OSF.IO/DRH7V

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