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

被引：2

作者：

Guo, Shanshan ^{[1
]}

Chai, Qingqing ^{[1
]}

Wang, Mengmeng ^{[2
]}

机构：

[1] Xinjiang Normal Univ, Sch Preparatory Educ, Urumqi 830000, Xinjiang, Peoples R China

[2] Lomonosov Moscow State Univ, Sch Translat & Interpretat, Moscow 119991, Russia

来源：

SCIENTIFIC PROGRAMMING | 2022年 / 2022卷

关键词：

Quality control;

D O I：

10.1155/2022/7560227

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页数：9

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