Systematic Analysis of Research Trends in STEAM/STEM Education Based on Big Data

DOI

10.2991/978-94-6463-012-1_18How to use a DOI?

Keywords

Big Data; Cloud Computing; STEAM Education; STEM Education; Network Technology

Abstract

Over the past decade, big data has become a part of everyday life. Big data and big data analysis techniques are applicable in many fields, especially education. Combining science, technology, engineering, arts and mathematics, STEAM (Science, Technology, Engineering, Arts and Mathematics) competitiveness has always been the focus of the world. This paper uses network big data resources to obtain relevant types of research results; uses big data analysis methods to finally extract 495 STEM/STEAM education articles published in 16 top journals from 2016 to 2021 for analysis, in order to comprehensively understand the current STEM/Big data trends and academic trends in STEAM education. The authors conducted quantitative research on selected journals, including the number of articles published in the field each year, author nationality, citations of published articles, research methods, and research topics. The results vividly show that the international status of big data in the field of STEM/STEAM is expanding. At present, most big data applications are still dominated by STEM education, which is gradually realizing a clear identity. The field of STEAM research, which aims to bring artistic expression into STEM education, is in its infancy, but it is growing faster than STEM 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.

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TY  - CONF
AU  - Ying Zhao
PY  - 2022
DA  - 2022/12/09
TI  - Systematic Analysis of Research Trends in STEAM/STEM Education Based on Big Data
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 155
EP  - 168
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_18
DO  - 10.2991/978-94-6463-012-1_18
ID  - Zhao2022
ER  -