Analysis of Online Course Learning Data Based on Density Peak Clustering and Research on Teaching Mode
- DOI
- 10.2991/978-94-6463-024-4_48How to use a DOI?
- Keywords
- Density Peak Clustering; data analysis; online course; Hybrid teaching mode
- Abstract
With the development of Zhihuishu platform, online courses have also been constructed and promoted. In this study, taking the web front-end development technology course as an example, this paper uses the Density Peak Clustering method to analyse the online learning data of students. By watching videos and submitting tests, students can be divided into three types: active, medium and passive. The attitudes of medium and passive students towards online courses need to be further improved. It shows that the intervention and guidance of teacher need to be increased in course teaching. Finally, this research explores the “before class - in class - after class” trinity hybrid teaching mode.
- 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 - Han Guo AU - Rui Zhang AU - Xiao-Nan Fang PY - 2022 DA - 2022/12/12 TI - Analysis of Online Course Learning Data Based on Density Peak Clustering and Research on Teaching Mode BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 457 EP - 465 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_48 DO - 10.2991/978-94-6463-024-4_48 ID - Guo2022 ER -