Difficulties and breakthroughs in the evaluation of college English classroom teaching quality in the era of artificial intelligence

Abstract

With the increasing popularity of artificial intelligence technology in the field of education, especially in college English teaching, the traditional teaching quality evaluation methods are facing new challenges and opportunities. This study aims to explore the difficulties and breakthroughs in the evaluation of college English classroom teaching quality in the era of artificial intelligence, using questionnaire survey, data collection, and statistical and machine learning model analyses. It is found that there is a significant relationship between the wide application of AI technology and the evaluation of teaching quality, and the existing evaluation system has limitations in evaluating the effectiveness of AI-assisted teaching. Through data analysis, this study reveals the potential of AI technology to improve teaching quality and points out the shortcomings of existing evaluation methods. The research results not only provide a new perspective for understanding the role of AI in education but also provide an empirical basis for improving teaching quality evaluation methods. Although there are some limitations, this study is of great significance for promoting the innovation and development of educational evaluation methods, and provides a valuable reference for educational practitioners and scholars.