Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Analysis of the development trend of teaching application research of big data technology in recent 10 years

Authors
Huiyuan Luo1, *
1College of Education Science, Bohai University, Jinzhou, 121013, China
*Corresponding author. Email: luohuiyuan98@qq.com
Corresponding Author
Huiyuan Luo
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_18How to use a DOI?
Keywords
Big data technology; Teaching application; CiteSpace
Abstract

With the deepening of the application of information technology in the field of education and teaching, a large number of educational data can be produced. Based on 611 journal papers related to the teaching application of big data technology collected in CNKI database, this paper makes an in-depth discussion on the hot spots and development trends of the teaching application of big data technology in China in the past ten years by using the information visualization software CiteSpace and the analysis methods of spatiotemporal knowledge graph and content knowledge graph. The analysis finds that the characteristics of big data technology in teaching application research are as follows: Since 2013, the application of big data technology in the field of education has achieved remarkable results, and entered a stage of large-scale and rapid development during 2014-2017. The research content mainly focuses on big data, application, learning analysis, data mining, data analysis and smart education, etc., which has become a research hotspot. The application of big data technology in the field of education mainly involves the aspects of learning analysis, personalized education, teaching evaluation and student management. In addition, factors such as educational policies, educational resources and teachers' professionalism also have an impact on the 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.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_18
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_18How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Huiyuan Luo
PY  - 2023
DA  - 2023/09/28
TI  - Analysis of the development trend of teaching application research of big data technology in recent 10 years
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 152
EP  - 165
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_18
DO  - 10.2991/978-94-6463-264-4_18
ID  - Luo2023
ER  -