Research on College English Teaching Evaluation Based on Neural Network

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.

Modelling and Simulation of Intelligent English Paper Generating Based on SSA‐GA

“…In the context of increasing social development and exchanges in economy, culture, and science and technology among all countries, English has become one of the most widely used communication languages [1,2]. Te educational circles of all countries have become aware of the important role English play in boosting their integration into the international community and promoting their all-round development and, consequently, are all intensifying their eforts in advancing English teaching [3][4][5]. In the course of English teaching, conducting tests of all types is inevitable.…”