Generative AI Based on Deep Knowledge Tracing for Academic Insight and Intelligent Learning Strategy Optimization
Xuna Wang · 2025
The advancement of educational technology and the need for diverse development of students have jointly promoted personalized learning to become the core concern of the current education field. However, how to track students' mastery of knowledge in real time and optimize teaching strategies have become the key links of personalized learning. Based on the sequential data of students' learning process, this paper constructs a deep knowledge tracking model to predict students' mastery of knowledge points. According to students' knowledge acquisition, the use of generative AI is further proposed to optimize the corresponding teaching strategies. It is found that the deep knowledge tracking model can effectively evaluate students' knowledge grasp, and the teaching strategy combined with generative AI can be more targeted to improve students' learning effect.