@inproceedings{329b353275424c4ea859be15e11db5ab,
title = "Improving Online Teaching Based on Knowledge Tracing Model",
abstract = "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.",
keywords = "knowledge tracing, online teaching, visualization",
author = "Han Wan and Lina Tang and Zihao Zhong and Kangxu Liu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 ; Conference date: 05-12-2021 Through 08-12-2021",
year = "2021",
doi = "10.1109/TALE52509.2021.9678661",
language = "英语",
series = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1062--1066",
booktitle = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",
address = "美国",
}