Abstract: Personalized learning based on artificial intelligence technology is the demand of the times to adapt to the future society and promote individual development. Based on the learning behavior data of learners' personality characteristics, it applies massive data analysis and model algorithm recommendation to carry out intelligent choice, decision and service so as to set learning path, provide learning resources, create interactive situation and give real-time feedback for learners; it realizes personalized learning objectives through synchronous adjustment and optimization of secondary supply of learning data. Such is the closed-loop operating mechanism of artificial intelligence technology enabling personalized learning. By combing the dynamic hierarchical relationship of learners' basic data, intelligent decision making and personalized service, and learning model construction, this paper proposes the practical approaches ofits enabling personalized learning: 1) to accurately draw the digital portrait of learners by data mining, and guide quantitative self and quantitative learning; 2) to adapt management system through the recommendation algorithm and the learning of artificial intelligence for intelligent decision-making and personalized service;3) to build a humanistic ecosystem of deep learning through machine learning for a shift from superficial to deep.

Key words: artificial intelligence technology, personalized learning, digital portrait, machine learning, ChatGPT