Improving Online Teaching Based on Knowledge Tracing Model
Han Wan, Lina Tang, Zihao Zhong, Kangxu Liu · 2021
During the hybrid teaching, knowledge tracing plays an important role in constructing adaptive teaching system. This study models the students' knowledge status by mining a large number of exercise records based on the improved dynamic key-value memory network (DKVMN), which is a knowledge tracing model with two external memory modules. Furthermore, the features of students' behavior are extracted to improve the prediction results of DKVMN. Since the model could depict the evolving knowledge state of students, the visualized results are displayed to both students and teachers. It could encourage students to learn the concepts that have not been mastered. On the other hand, it could help teachers to conduct teaching interventions on the high-risk students.