Intelligent English Course Evaluation System Based on BP Neural Algorithm

Course evaluation is a relatively complex, fuzzy and non-linear process involving a large number of influencing factors. Introducing appropriate intelligent optimization methods in the course evaluation system can make the evaluation results more scientific and credible. The aim of this paper is to...

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Bibliographic Details
Published in2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON) pp. 1 - 6
Main Author Liu, Lei
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.08.2023
Subjects
audiovisual online
BP neural algorithm
Business
business English
course evaluation
Education
Hybrid learning
Indexes
Neural networks
Optimization methods
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DOI10.1109/INDISCON58499.2023.10270627

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Summary:Course evaluation is a relatively complex, fuzzy and non-linear process involving a large number of influencing factors. Introducing appropriate intelligent optimization methods in the course evaluation system can make the evaluation results more scientific and credible. The aim of this paper is to study the evaluation system of online business English audio-visual courses based on BP neural algorithm. Based on the basic principles of BP neural networks, the evaluation indexes and models of online business English audio-visual courses based on BP neural networks are established, and case studies are carried out to provide references for improving teachers' teaching level, optimising teaching platforms and improving teaching quality. On the whole, the model proposed in this paper is feasible and can provide a reference for the development of business English online education.
DOI:10.1109/INDISCON58499.2023.10270627