Research on College English Teaching Evaluation Based on Neural Network

Yuanyuan Zhao and Punit Gupta

Mathematical Problems in Engineering, 2022, vol. 2022, 1-10

Abstract: Aiming at the difficulty in adapting the traditional English teaching evaluation model to the new situation of current education development, a research on college English teaching evaluation based on neural network is proposed. The thesis proposes that based on the neural network, from the perspective of teachers and students, while creating a positive and harmonious learning atmosphere, a college English teaching environment with interactive mechanism is established, and a teaching mode of English interactive mechanism is constructed in it. To obtain a better neural network model, to establish the performance evaluation index of college English teaching, to calculate the weight of the performance evaluation index of English teaching, and to realize the evaluation of college English teaching based on neural network, the experimental results show that the use of this method can significantly improve students’ English scores, and the method has high approximation accuracy.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:7653986

DOI: 10.1155/2022/7653986

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