【关 键 词 】：
Under the digital environment, learning means collecting, converging, storing, sharing and creating information, involves both individual learning behavior and group behaviors, and as a result, affects individual knowledge building. In age of big data, based on AprioriAll algorithm, this study explores the learning behavior trajectory of the same group with the same or similar learning preference and knowledge level, and generates precise personalized learning path according to learners' characteristics and learning media type, the level of understanding, the matching calculation of difficulty level, which can provide new ideas for differentiating teaching. Finally, the experimental study is adopted and the learning efficiency and satisfaction are investigated through the scatter diagram and directed acyclic graph. The results indicate that the accurate personalized learning path can meet learners' learning needs, provide them effective guidance, stimulate their interest in learning, enhance their learning motivations and promote their personalized development.