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Educational data mining is an interdisciplinary subject of computer science,statistics and pedagogy,and it mainly deals with the problems of educational research and teaching practice through the theory and technology of computer science and statistics.For example,it can reduce the learning cost of students and the educational cost of teachers as much as possible under the condition of obtaining the maximum learning gain.The rapid development of computer-assisted education environments and online education platforms has generated a wealth of data,which has also posed a major challenge,of course,but it cannot provide resources for students’ specific needs.Knowledge tracing is an individual method for recommending teaching resources and diagnosing learning paths in the field of intelligent tutoring education.With the time going on,students’ knowledge states can be mo-deled to predict their future performance based on their historical response sequences.This paper focuses on the analysis of relevant literature from two aspects:knowledge tracing model on training process with interpretability,prediction results with high precision,and then introduces the public datasets,evaluation metrics and applications in this field.Finally,the challenges of knowledge tracing are prospected.