conference-paper

Construction of Online Teaching Quality Evaluation System in Universities Oriented by Deep Learning

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Abstract

In the post-epidemic era, online teaching has become the normal teaching mode. The blended teaching mode which combines online and offline efforts and integrates and complements has become the main direction of education and teaching development in colleges and universities. The new teaching model puts forward higher requirements for teaching quality assurance to improve the quality of online teaching in colleges and universities. Based on the deep learning-oriented evaluation index model and weight coefficient algorithm, this paper analyzes the online learning data and supervision feedback suggestions of the smart platform in spring 2020 and spring 2022 of our school, and constructs an online teaching quality evaluation system to accumulate experience and provide reference for colleges and universities to carry out online teaching quality evaluation reform.

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Publication details

DOI
10.1109/cste59648.2023.00024
OpenAlex
W4387163709
Document type
conference-paper
Language
EN
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