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.

Highlights

  • In the digital era, digital technologies represented by the new generation of Internet technology have significantly reduced the cost of information dissemination

  • To address the research gap, this study proposes a process model and develops an indicator system for assessing the teaching quality of hybrid online and offline teaching from the perspective of the whole process of curriculum construction, teaching implementation, and teaching effects

  • BP neural network, called “error backpropagation neural network,” provides a novel technique for teaching quality evaluation, which can effectively overcome the shortcomings of traditional evaluation methods

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Summary

Introduction

Digital technologies represented by the new generation of Internet technology have significantly reduced the cost of information dissemination. Access a vast amount of high-quality teaching resources through the Internet In this context, both “teaching” and “learning” are given a new connotation of the times [1]. At the same time, the Ministry of Education has held a series of meetings such as the “National Conference on Higher Undergraduate Education in the New Era” to promote the construction of online resources of various courses [5]. Prospective research on the evaluation of teaching quality of hybrid online and offline teaching is apparent [8]. To address the research gap, this study proposes a process model and develops an indicator system for assessing the teaching quality of hybrid online and offline teaching from the perspective of the whole process of curriculum construction, teaching implementation, and teaching effects. It provides suggestions and improvement direction for similar colleges to perfect the construction of related curriculums and improve the quality of hybrid online and offline teaching

Related Works
Development of Evaluation Indicator System
Assessment Methods
Indicators
Evaluation quality

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