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.

Download article (PDF)

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  -