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A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Evaluation of English Teaching Quality Based on Artificial Intelligence Optimization

Author : Xia Sheng

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

The application of artificial intelligence in teaching quality evaluation is an indispensable part. Therefore, student English curriculum evaluation is an important part of College English teaching reform. This paper analyzes the current situation, participation and expectation of students’ utilization of teaching resources. This paper analyzes an intelligent algorithm related to the optimization of teaching quality, and focuses on a well applied genetic algorithm. Genetic algorithm is used to optimize ant parameters, such as typical path optimization model, which verifies the effectiveness of parameter optimization. Objective to establish a quality evaluation model for students’ English curriculum, improve students’ English learning ability and level, improve the English information platform, and provide constructive suggestions for large-scale educational reform in Colleges and universities.

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previous chapter Improving the Education of Computer-Aided Translation Technology Based on Artificial Intelligence
next chapter Damage Identification of Two-Stage Beam Structure Based on Improved Particle Swarm Optimization Algorithm
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Metadata
Title
Evaluation of English Teaching Quality Based on Artificial Intelligence Optimization
Author
Xia Sheng
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Frontier Computing

Print ISBN: 978-981-9914-27-2

Electronic ISBN: 978-981-9914-28-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1428-9_170