In the context of educational reform in the information age,personalized learning has gradually become a focal point of research.One of the key aspects of achieving personalized learning is the precise assessment of learners'cognitive abilities to accurately predict student performance.Based on cognitive diagnosis and Ensemble Learning theories,this paper proposes a student performance prediction model based on multi-feature cognitive diagnosis,which comprehensively considers the impact of students'latent ability traits and mastery degree of knowledge points on answering performance,aiming to improve the accuracy of performance prediction.Through comparative experiments,parameter sensitivity experiments and case analysis,the effectiveness of the model is verified.
维普
万方数据
