大学英语
数学教育
计算机科学
人工智能
工程类
心理学
标识
DOI:10.23977/jaip.2024.070303
摘要
College English public courses are often marginalized in university teaching: at the school management level, teachers and students often attach importance to professional courses and neglect public basic courses. The reduction of college English class hours, coupled with the relatively independent and free learning methods of college students, lack awareness of previewing and reviewing public courses that they do not value. College students from all over the country have varying levels of English proficiency. This study explored innovative ideas and paths for college English teaching in the era of artificial intelligence. The current college English public courses face challenges such as reduced class hours, low student attention, and uneven English proficiency. To address these issues, this article explored methods of using micro lessons and intelligent video technology to enhance teaching effectiveness, emphasizing the role of concise content and diverse forms of micro lessons in stimulating students' interest in learning. Furthermore, the design of a personalized teaching platform based on AI (artificial intelligence) technology was introduced in detail, providing personalized learning resource recommendations for students through user behavior analysis and recommendation algorithms. The experimental results showed that after applying the AI personalized recommendation platform, the average learning interest score of students increased to 4.2; the average learning time increased to 9.2 hours; the average comprehensive recommendation score reached 4.1. The AI personalized recommendation platform significantly improved students' learning interest and effectiveness. This article believed that the application of artificial intelligence in college English teaching can not only improve teaching efficiency, but also realize the personalized needs of students and promote the continuous improvement of educational quality.
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