Research and Application of Online Learning Mechanism Based on Data Drive
- DOI
- 10.2991/978-94-6463-172-2_187How to use a DOI?
- Keywords
- Online Behavior Mechanism; Clustering of Teachers and Students; Academic achievement Prediction; Personalized Teaching
- Abstract
With the rapid development of online teaching, teachers’ and students’ online teaching and learning activities have generated massive amounts of behavioral data. Through in-depth mining and analysis of these behavioral data information, such technologies as teacher-student clustering technology, user portrait technology, and academic performance prediction based on behavioral data, in order to improve the effect of online teaching, realize individualized teaching with thousands of people. And select a course for empirical application to help teaching staff master the learning trend of learners, gain a deeper understanding of learners’ learning situation, and promote scientific and continuous improvement of online courses.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhao Liang AU - Xiaohua Xiao AU - Ruixia Wu AU - Guili Zhang AU - Hanyue Zhang AU - Yinglong Yu AU - Gang Cao PY - 2023 DA - 2023/06/30 TI - Research and Application of Online Learning Mechanism Based on Data Drive BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1695 EP - 1702 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_187 DO - 10.2991/978-94-6463-172-2_187 ID - Liang2023 ER -