Student ability assessment method and system, medium, equipment and terminal

The invention belongs to the technical field of intelligent education, and discloses a student ability assessment method and system, a medium, equipment and a terminal. Performing hierarchical clustering on each feature dimension, and obtaining a learning condition capability evaluation score of each course of the student through secondary hierarchical clustering; performing deep neural network training by using the clustering scores, and constructing a student ability evaluation model based on an online education platform; and analyzing the user activeness by using the student ability evaluation model, determining a user activeness score, and generating a course ability radar map of the student. According to the method, the ability assessment score of the student is obtained through secondary hierarchical clustering, the regression model is trained through the deep learning algorithm, and compared with a radar map made by software such as Excel, the method is more intelligent, more fusion features are achiev