Construction and Implementation Strategies of Personalized Learning Paths Based on Artificial Intelligence

With the increasingly popular application of intelligent technology in the field of education, innovation in educational practice continues to emerge, and personalized learning experience becomes inevitable. On the basis of in-depth analysis of the application status of educational intelligence technology, this paper constructs a personalized learning path theoretical model based on artificial intelligence, and summarizes the implementation strategy of the path. The purpose of this paper is to realize the precise match between the individual needs of learners and the individual teaching strategies with the help of intelligent education technology, so as to realize the tailor-made education. Establishing intelligent learning data analysis system, accurately pushing learning resources, orderly arranging learning process, establishing learning progress monitoring and feedback mechanism, creating interactive learning environment, paying attention to learner privacy protection and other strategies are the key to ensure the smooth implementation of personalized learning path.