Research on the Influence of Information Technology on China’s Higher Education in the Post-epidemic Era
- DOI
- 10.2991/978-94-6463-034-3_75How to use a DOI?
- Keywords
- Information technology; Higher education; Regression forest; Post-epidemic era
- Abstract
The development of information technology has added new vitality to the teaching work of colleges and universities. This article mainly discusses the influence of information technology on higher education in the post-epidemic era and proposes relevant countermeasures. In the post-epidemic era, information technology promotes the personalized and international of higher education, enriches the diversity of teaching methods and promotes the transformation from “blended” to “double-blended”. Simultaneously, we construct a student performance analysis and prediction model based on regression forest, and verify the effectiveness of the model in a real dataset, which illustrates how information technology represented by big data and data mining is integrated with higher education to bring a new teaching experience. Finally, this paper also puts forward some relevant strategies on the future development of online education.
- 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 - Yan Chen AU - Hang Zhang PY - 2022 DA - 2022/12/23 TI - Research on the Influence of Information Technology on China’s Higher Education in the Post-epidemic Era BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 726 EP - 736 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_75 DO - 10.2991/978-94-6463-034-3_75 ID - Chen2022 ER -