Establishing a Fusion Model of Attention Mechanism and Generative Adversarial Network to Estimate Students' Attitudes in English Classes

Abstract

With the rapid development of science and technology, artificial intelligence has been widely used in various fields and a new model of AI-aided education has been developed in the new era. In the education industry, AI-aided education can save teachers' energy, improve teaching efficiency and help to refine teaching methods. In order to estimate students' attitudes towards English teachers' lectures, this paper proposed an AI-aided feedback system. In the constructed system, DG-Net was used to expand the data sets of students, and combined with Attention's Alphapose model to collect students' listening poses. The whole model provided feedback of students' listening postures in English speaking and listening classes, assisting teachers to estimate students' attitudes through data analysis and realizing AI-aided education in English classes.