Research trends in engineering education research through bibliometric analysis
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Published:2024-07-01
Issue:7
Volume:20
Page:em2476
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ISSN:1305-8215
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Container-title:Eurasia Journal of Mathematics, Science and Technology Education
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language:
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Short-container-title:EURASIA J Math Sci Tech Ed
Author:
Kondrashev Sergey V.1ORCID, Vavulskaia Elena I.1ORCID, Burenina Valentina I.2ORCID, Prokopyev Alexey I.3ORCID, Ibraeva Gulnara R.4ORCID, Nikitina Svetlana A.5ORCID
Affiliation:
1. I. M. Sechenov First Moscow State Medical University, Moscow, RUSSIA 2. Bauman Moscow State Technical University, Moscow, RUSSIA 3. Plekhanov Russian University of Economics, Moscow, RUSSIA 4. Kazan State Power Engineering University, Kazan, RUSSIA 5. Moscow State University of Civil Engineering, Moscow, RUSSIA
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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