Design of an AI-based Personalized English Self-learning System

With the rapid development of artificial intelligence (AI) technology, its application in the field of education has become crucial for enhancing teaching quality and learning efficiency. This study aims to explore the design theory and methods of a personalized English self-learning system based on AI. The research first analyzes the current issues in English learning, such as the uneven distribution of learning resources, the monotony of the learning process, and the unpredictability of learning outcomes. On this basis, the study proposes a design framework for a personalized learning system that integrates AI technology, including three core modules: intelligent recommendation of learning resources, dynamic monitoring of the learning process, and intelligent assessment of learning outcomes. Through theoretical analysis and literature review, this study elaborates on the design principles and implementation methods of each module, emphasizing the potential of AI technology in personalized learning. During the research process, a theoretical model was constructed using system analysis and design methods, combined with theories from educational psychology and cognitive science, to guide the design of the personalized learning system. The research conclusions indicate that an AI-enabled personalized English self-learning system can effectively enhance learners' motivation and learning efficiency, achieving optimal allocation of learning resources and personalized customization of the learning process. This study provides a new theoretical perspective for English education and offers a reference for the design of personalized learning systems in other disciplines.