With the widespread application of artificial intelligence technology in education, particularly in college English teaching, its potential for personalized instruction is gaining attention. This study aims to explore an AI-assisted personalized college English teaching model and evaluate its effectiveness in improving learning efficiency and teaching quality. Data were collected through questionnaire surveys and experimental studies on the experiences and satisfaction of students and teachers using AI teaching tools. The constructed teaching model is based on personalized learning theory and cognitive development theory, aiming to optimize the learning process and enhance learning outcomes. The experimental results showed that students using AI tools demonstrated higher improvement rates in various English skills, and both teachers and students expressed higher satisfaction with AI-assisted teaching. Despite research limitations, such as sample diversity and challenges posed by rapid technological advancements, this study provides valuable insights and recommendations for future AI applications in education.
Lifang Xie (Tue,) studied this question.