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A bibliometric mapping of the structure of STEM education using co‐word analysis

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  • Shimelis G. Assefa
  • Abebe Rorissa

Abstract

STEM, a set of fields that includes science, technology, engineering, and mathematics; allied disciplines ranging from environmental, agricultural, and earth sciences to life science and computer science; and education and training in these fields, is clearly at the top of the list of priority funding areas for governments, including the United States government. The U.S. has 11 federal agencies dedicated to supporting programs and providing funding for research and curriculum development. The domain of STEM education has significant implications in preparing the desired workforce with the requisite knowledge, developing appropriate curricula, providing teachers the necessary professional development, focusing research dollars on areas that have maximum impact, and developing national educational policy and standards. A complex undertaking such as STEM education, which attracts interest and valuable resources from a number of stakeholders needs to be well understood. In light of this, we attempt to describe the underlying structure of STEM education, its core areas, and their relationships through co‐word analyses of the titles, keywords, and abstracts of the relevant literature using visualization and bibliometric mapping tools. Implications are drawn with respect to the nature of STEM education as well as curriculum and policy development.

Suggested Citation

  • Shimelis G. Assefa & Abebe Rorissa, 2013. "A bibliometric mapping of the structure of STEM education using co‐word analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2513-2536, December.
    • Handle: RePEc:bla:jamist:v:64:y:2013:i:12:p:2513-2536
    DOI: 10.1002/asi.22917
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    Cited by:

    1. Chengzhi Zhang & Lei Zhao & Mengyuan Zhao & Yingyi Zhang, 2022. "Enhancing keyphrase extraction from academic articles with their reference information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 703-731, February.
    2. Ping Liu & Qiong Wu & Xiangming Mu & Kaipeng Yu & Yiting Guo, 2015. "Detecting the intellectual structure of library and information science based on formal concept analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 737-762, September.
    3. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    4. Vibhav Singh & Surabhi Verma & Sushil S. Chaurasia, 2020. "Mapping the themes and intellectual structure of corporate university: co-citation and cluster analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1275-1302, March.
    5. Liang Zhuang & Chao Ye & Scott N. Lieske, 2020. "Intertwining globality and locality: bibliometric analysis based on the top geography annual conferences in America and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1075-1096, February.
    6. Marie Katsurai & Shunsuke Ono, 2019. "TrendNets: mapping emerging research trends from dynamic co-word networks via sparse representation," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1583-1598, December.
    7. Víctor Meseguer-Sánchez & Emilio Abad-Segura & Luis Jesús Belmonte-Ureña & Valentín Molina-Moreno, 2020. "Examining the Research Evolution on the Socio-Economic and Environmental Dimensions on University Social Responsibility," IJERPH, MDPI, vol. 17(13), pages 1-30, July.
    8. Alan L. Porter & David J. Schoeneck & Jan Youtie & Gregg E. A. Solomon & Seokbeom Kwon & Stephen F. Carley, 2019. "Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1093-1117, March.
    9. Jamali, Seyedh Mahboobeh & Nader, Ale Ebrahim & Jamali, Fatemeh, 2021. "The Role of STEM Education in Improving the Quality of Education: A Bibliometric Study," MPRA Paper 114214, University Library of Munich, Germany, revised 02 May 2022.
    10. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    11. Chen, Guo & Xiao, Lu, 2016. "Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods," Journal of Informetrics, Elsevier, vol. 10(1), pages 212-223.
    12. Hae Ok Choi, 2020. "An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy," Land, MDPI, vol. 9(2), pages 1-19, February.

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