LKD: the Intelligent Model for the Diagnosis of Deficiencies in Examinees' Mastery of Knowledge Points

To identify students' knowledge deficiencies and enhance personalized learning in online education, we propose the "Learner-Knowledge Deficiency Diagnosis Model," which analyzes students' answer records. The model considers knowledge dependencies, error rates, and the weight of each knowledge point. Experiments show that it effectively identifies and categorizes knowledge gaps. These results provide a basis for personalized learning, improving both teaching quality and learning efficiency, while offering new tools for educational technology development.