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With the continuous development of artificial intelligence and education, knowledge tracking has broad application prospects in the field of smart teaching. Deep learning is widely used in the field of knowledge tracking with its powerful feature extraction ability, taking the deep learning knowledge tracking model as the starting point, and its improved model as the main line, comprehensively reviewing the research progress of the knowledge tracking model, briefly introducing the characteristics and shortcomings of the traditional model in the field of knowledge tracking, expounding the principles and limitations of the knowledge tracking model based on deep learning, and comprehensively sorting out and analyzing the problems of interpretability, lack of learning features, memory enhancement networks, graph neural networks, Based on the improvement model of five aspects of attention mechanism, the comparative analysis of public data sets, evaluation indicators and model performance commonly used in the field of knowledge tracking is sorted out, and finally the application of knowledge tracking in smart teaching and the current research status and future research direction of this research field are summarized and discussed.