Research on the Development Path of Online Education Based on Big Data
- DOI
- 10.2991/978-94-6463-058-9_121How to use a DOI?
- Keywords
- big data; online education; data analysis; quantitative analysis
- ABSTRACT
The deep integration of Internet and education has produced online education. This paper presents data and quantitative analysis on the development status of online education in China in four dimensions: platform development, teaching resources, teaching quality and teaching management. The results show that the quality of online teaching in China is poor and the teaching management is lack of personalization and precision. Use big data technology to conduct data mining, prediction and learning analysis for online education, and propose development strategies for online education, so as to promote personalization and precision of online education and improve teaching quality.
- 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 - Xiaoping Feng AU - Yidan Qin PY - 2022 DA - 2022/12/27 TI - Research on the Development Path of Online Education Based on Big Data BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 773 EP - 777 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_121 DO - 10.2991/978-94-6463-058-9_121 ID - Feng2022 ER -