Research trends in engineering education research through bibliometric analysis
Sergey V. Kondrashev 1 , Elena I. Vavulskaia 1 , Valentina I. Burenina 2 , Alexey I. Prokopyev 3 , Gulnara R. Ibraeva 4 * , Svetlana A. Nikitina 5
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1 I. M. Sechenov First Moscow State Medical University, Moscow, RUSSIA2 Bauman Moscow State Technical University, Moscow, RUSSIA3 Plekhanov Russian University of Economics, Moscow, RUSSIA4 Kazan State Power Engineering University, Kazan, RUSSIA5 Moscow State University of Civil Engineering, Moscow, RUSSIA* Corresponding Author

Abstract

This study aimed to explore research trends in engineering education research through bibliometric analysis. This review comprised studies indexed in the Scopus database between 2014 and 2023. In total, 6,338 articles were examined using the bibliometric analysis method. The results revealed an increase in the number of publications in the research on engineering education from 2014 to 2023. The results also showed that most of the top-10 authors are from the USA and slight collaborations between research groups. The results also revealed that most institutions with the highest publications and citations are from the USA, a leading country in engineering education research, and only three are from other countries, Denmark, Spain, and Sweden. Also, we found that the top-three journals are the periodicals that publish articles specifically on engineering education. The results regarding research trends revealed the existence of research on participants’ self-efficacy beliefs, experiences, and perceptions and the effects of education technology practices on learning outcomes and teaching methods like project-based learning and problem-solving. Additionally, the research trends were found on design skills, decision-making, product design practices and professional development, technology integration practices, and teaching practices using artificial intelligence. Based on the results, we made implications for further studies.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, Volume 20, Issue 7, July 2024, Article No: em2476

https://doi.org/10.29333/ejmste/14760

Publication date: 01 Jul 2024

Online publication date: 24 Jun 2024

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Article Downloads: 395

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