Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Study on Document Measurement and Visual Analysis of Big Data Education Evaluation

Authors
Liang Yang1, Xu Luo1, Ao Gao2, *
1Computing Center, Shenyang Normal University, Shenyang, 110034, Liaoning, China
2National Engineering Research Centre of Fire and Emergency Rescue, Shenyang Fire Science and Technology Research Institute of MEM, Shenyang, 110034, Liaoning, China
*Corresponding author. Email: gaoao@syfri.cn
Corresponding Author
Ao Gao
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_53How to use a DOI?
Keywords
big data; education evaluation; educational activities; visual analysis
Abstract

Machine learning, recommendation algorithm and other new big data technology, has become an important tool for learning analysis education evaluation. Educational evaluation is an important means to evaluate the value of educational activities, and big data technology is becoming an important part of educational evaluation. It has become an urgent problem to sort out the status quo of big data education evaluation research and clarify the context of its research development. In this paper, we use bibliometrics to analyze the data of 391 articles indexed by Web of Science in recent ten years, and use Cite Space software to generate visual results. Through the analysis of the results, it is concluded that big data technology is of great significance for educational evaluation.

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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-024-4_53
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_53How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Liang Yang
AU  - Xu Luo
AU  - Ao Gao
PY  - 2022
DA  - 2022/12/12
TI  - Study on Document Measurement and Visual Analysis of Big Data Education Evaluation
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 504
EP  - 513
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_53
DO  - 10.2991/978-94-6463-024-4_53
ID  - Yang2022
ER  -