Bibliometric Analysis of Big Data Application in Education in China from 2013 to 2022

DOI

10.2991/978-2-38476-128-9_5How to use a DOI?

Keywords

Big data; education; bibliometric method; application

Abstract

Relying on the CNKI data platform, articles were screened for “education big data” and the search period was set to “January 1, 2013 to August 30, 2022”. The data were screened, collated and analyzed by using bibliometric statistical methods. The conclusions were as follows: 1. The attention of big data application in education has decreased significantly. 2. Associated paper arguments are more focused on colleges and universities, and research in other areas of education is scarce. After analyzing the causes of the above problems, a total of three prospects and suggestions were put forward to assist the subsequent application of big data technology in the field of education.

Copyright

© 2024 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  - Liuyi Chen
PY  - 2023
DA  - 2023/10/15
TI  - Bibliometric Analysis of Big Data Application in Education in China from 2013 to 2022
BT  - Proceedings of the 2023 3rd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2023)
PB  - Atlantis Press
SP  - 31
EP  - 38
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-128-9_5
DO  - 10.2991/978-2-38476-128-9_5
ID  - Chen2023
ER  -