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- W4377992895 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." @default.
- W4377992895 created "2023-05-25" @default.
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- W4377992895 date "2023-01-01" @default.
- W4377992895 modified "2023-10-14" @default.
- W4377992895 title "Evaluation of English Teaching Quality Based on Artificial Intelligence Optimization" @default.
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- W4377992895 doi "https://doi.org/10.1007/978-981-99-1428-9_170" @default.
- W4377992895 hasPublicationYear "2023" @default.
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