Evaluation Model of Online and Offline Mixed Teaching Quality in Colleges and Universities Based on BP Neural Network-Reference-Cited by-同舟云学术

Evaluation Model of Online and Offline Mixed Teaching Quality in Colleges and Universities Based on BP Neural Network

Published:2022-01-20 Issue: Volume:2022 Page:1-9
ISSN:1875-919X
Container-title:Scientific Programming
language:en
Short-container-title:Scientific Programming

Author:

Guo Shanshan¹^ORCID,Chai Qingqing¹,Wang Mengmeng²

Affiliation:

1. School of Preparatory Education, Xinjiang Normal University, Urumqi, Xinjiang 830000, China

2. School of Translation and Interpretation, Lomonosov Moscow State University, Moscow 119991, Russia

Abstract

Hybrid online and offline teaching is becoming the mainstream teaching method in the postepidemic era. However, research on assessing its teaching quality is still limited. This article thus develops a teaching quality evaluation model based on the BP neural network. A three-dimensional indicator system involving 19 indicators is set in the model. The established model was demonstrated and validated by a case study. The results show that the developed model can accurately assess the teaching quality of hybrid online and offline teaching. Findings from this study can provide valuable references for improving the quality of hybrid online and offline teaching.

Funder

Xinjiang Normal University

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Link

http://downloads.hindawi.com/journals/sp/2022/7560227.pdf

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