Systematic Analysis of Research Trends in STEAM/STEM Education Based on Big Data
- 10.2991/978-94-6463-012-1_18How to use a DOI?
- Big Data; Cloud Computing; STEAM Education; STEM Education; Network Technology
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.
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Cite this article
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 -