The Impact of Artificial Intelligence-Assisted Instruction on the Oral Proficiency Improvement of English Major Students

Abstract

This study takes 60 English major students from a university in Inner Mongolia as the research subjects and conducts experiments using two artificial intelligence platforms, the “Shell Breaking AI Speaking” app and the “AI Foreign Teacher” app, to explore the impact of AI-assisted learning on English speaking ability. A combination of questionnaire surveys and interviews is employed to assess students’ attitudes toward and experiences with AI-assisted learning. The results indicate that high-frequency AI-assisted learning can effectively enhance multiple dimensions of students’ oral expression ability within a short period of time. Students generally hold positive attitudes toward using artificial intelligence for oral training, suggesting that it can be appropriately integrated into English teaching in the future. However, the AI teaching platforms used in this study still exhibit issues such as inaccurate speech recognition and relatively limited training content. It is recommended that the AI training systems within the platforms be optimized and that personalized learning paths be incorporated.