Bibliometric Analysis of Articles Related Misconception in Biology by Country and Journal
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Published
Jun 28, 2024
Abstract
The aim of this study is to reveal the content analysis and trends of studies on misconceptions in biology education. Within the scope of the research, articles containing misconceptions about biology were accessed from the Scopus database. “Biology and misconception” was searched in the title, abstract and keywords in the Scopus database on September 13, 2022. A total of 410 publications about misconceptions in biology education were found in the search. The years of accessed publications were determined between 1970 and 2022. A total of 410 publications were analyzed in the research, regardless of language. According to the data obtained, 53 countries and 143 journals published articles on misconceptions in biology. However, in order to obtain clearer data, 3 articles were determined as the minimum number of articles for a country, and 31 countries and 27 journals were considered in this research. According to this research, in terms of the number of documents, the USA is the most published country with 199 articles, and Turkey is the second most published country with 39 studies. It was also revealed that the most cited countries were the United States, Australia and the United Kingdom, respectively. “CBE Life Sciences Education” and “American Biology Teacher” journals were determined as the journals with the most publications on the subject. In addition, Journal of Research in Science Teaching, CBE Life Sciences Education, International Journal of Science Education, Journal of Biological Education, Evolution: Education and Outreach were identified as the most cited journals in the studies. The results of this study are thought to be important for the future development of studies on misconceptions in biology education.
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Keywords
Bibliometric Network Analysis, Misconception, Biology Education, Vosviewer, Scopus Database
References
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Al Husaeni, D. F., Nandiyanto, A. B. D., & Maryanti, R. (2023). Bibliometric analysis of educational research in 2017 to 2021 using VOSviewer: Google scholar indexed research. Indonesian Journal of Teaching in Science, 3(1):1-8. DOI: https://doi.org/10.17509/ijotis.v3i1.43182
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Artsın, M. (2020). Bir metin madenciliği uygulaması: vosvıewer [A text mining application: vosviewer]. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B-Teorik Bilimler, 8(2):344-354.
Ayas, A., Taş, E. ve Köse, S. (2003). Bilgisayar destekli öğretimin kavram yanılgıları üzerine etkisi: Fotosentez [The effect of computer-assisted instruction on misconceptions: Photosynthesis]. PAU Eğitim Fakültesi Dergisi, 2(4):106-112.
Azer, S. A. (2017). Top‐Cited Articles in Problem‐Based Learning: A Bibliometric Analysis and Quality of Evidence Assessment. Journal of Dental Education, 81(4):458-478. DOI: https://doi.org/10.21815/JDE.016.011
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Gül, Ş., & Özay Köse, E. (2018). Türkiye'de Biyoloji Alanındaki Kavram Yanılgıları ile İlgili Yapılan Makalelerin İçerik Analizi [Content Analysis of Articles Concerning Misconceptions in the Field of Biology in Turkey]. Igdir University Journal of Social Sciences, 1:499-521.
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Işın, A. (2022). The investigation of studies concerning to corporate social responsibility practices in restaurants through bibliometric analysis: A Research on Scopus Journals. İşletme Araştırmaları Dergisi, 14(1):1063-1076. DOI: https://doi.org/10.20491/isarder.2022.1427
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Kuzior, A., & Sira, M. (2022). A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability, 14(13):8206. DOI: https://doi.org/10.3390/su14138206
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Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27:420-433. DOI: https://doi.org/10.1016/j.asoc.2014.10.035
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Özay, M.A. (2022). Bilimsel Gelişmeler Işığında Yönetim ve Strateji Araştırmaları [Management and Strategy Research in the Light of Scientific Developments], Ekin Yayınevi. ISBN: 9786258117370.
Polat, C., Sağlam, M., & Sarı, T. (2013). Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi’nin bibliyometrik analizi [Bibliometric analysis of Atatürk University Journal of Economics and Administrative Sciences]. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 27(2):273-288.
Ramalho, A., Souza, J. & Freitas, A. (2020). The use of artificial intelligence for clinical coding automation: a bibliometric analysis. In International Symposium on Distributed Computing and Artificial Intelligence. Springer: 274-283. DOI: https://doi.org/10.1007/978-3-030-53036-5_30
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Al Husaeni, D. F., Nandiyanto, A. B. D., & Maryanti, R. (2023). Bibliometric analysis of educational research in 2017 to 2021 using VOSviewer: Google scholar indexed research. Indonesian Journal of Teaching in Science, 3(1):1-8. DOI: https://doi.org/10.17509/ijotis.v3i1.43182
Anderson, D.L., Fisher, K.M., &Norman, G.J. (2002). Development and evaluation of the conceptual inventory of natural selection. Journal of Research in Science Teaching, 39(10): 952-978. DOI: https://doi.org/10.1002/tea.10053
Artsın, M. (2020). Bir metin madenciliği uygulaması: vosvıewer [A text mining application: vosviewer]. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B-Teorik Bilimler, 8(2):344-354.
Ayas, A., Taş, E. ve Köse, S. (2003). Bilgisayar destekli öğretimin kavram yanılgıları üzerine etkisi: Fotosentez [The effect of computer-assisted instruction on misconceptions: Photosynthesis]. PAU Eğitim Fakültesi Dergisi, 2(4):106-112.
Azer, S. A. (2017). Top‐Cited Articles in Problem‐Based Learning: A Bibliometric Analysis and Quality of Evidence Assessment. Journal of Dental Education, 81(4):458-478. DOI: https://doi.org/10.21815/JDE.016.011
Buonocore, E., Picone, F., Russo, G. F. & Franzese, P. P. (2018). The scientific research on natural capital: a bibliometric network analysis. Journal of Environmental Accounting and Management, 6(4):381-391. DOI: https://doi.org/10.5890/JEAM.2018.12.010
Çelik, E., Durmus, A., Adizel, O., & Nergiz Uyar, H. (2021). A bibliometric analysis: what do we know about metals (loids) accumulation in wild birds? Environmental Science and Pollution Research, 28(8):10302-10334. DOI: https://doi.org/10.1007/s11356-021-12344-8
Çetinkaya Bozkurt, Ç. Ö., & Çetin, A. (2016). Girişimcilik ve Kalkınma Dergisi’nin bibliyometrik analizi [Bibliometric analysis of the Journal of Entrepreneurship and Development]. Girişimcilik ve Kalkınma Dergisi, 11 (2):230-263.
Çiltaş, A., Güler, G., &Sözbilir, M. (2012). Türkiye’de matematik eğitimi araştırmaları: Bir içerik analizi çalışması [Mathematics education research in Turkey: A content analysis study]. Kuram ve Uygulamada Eğitim Bilimleri Dergisi, 12(1):565-580.
Demir, E., & Çelik, M. (2020). Fen bilimleri öğretim programları alanındaki bilimsel çalışmaların bibliyometrik profili [Registered bibliometric profile of science curriculum businesses]. Turkiye Kimya Dernegi Dergisi Kısım C: Kimya Egitimi, 5(2):131-182. DOI: https://doi.org/10.37995/jotcsc.765220
Demirgil, H. (2018). Süleyman Demirel Üniversitesi yayınlarında bilimsel yoğunlaşma alanları ve bibliyometrik ağ analizi [Scientific concentration areas and bibliometric network analysis in Süleyman Demirel University publications]. Süleyman
Demirel University Faculty of Arts and Science Journal of Science, 13(2):36-53. DOI: https://doi.org/10.29233/sdufeffd.375482
Ekinci, G., & Özsaatci, F. G. B. (2023). Yapay Zekâ ve Pazarlama Alanındaki Yayınların Bibliyometrik Analizi [Bibliometric Analysis of Publications in the Field of Artificial Intelligence and Marketing]. Sosyoekonomi, 31(56):369-388. DOI: https://doi.org/10.17233/sosyoekonomi.2023.02.17
Gül, Ş., & Özay Köse, E. (2018). Türkiye'de Biyoloji Alanındaki Kavram Yanılgıları ile İlgili Yapılan Makalelerin İçerik Analizi [Content Analysis of Articles Concerning Misconceptions in the Field of Biology in Turkey]. Igdir University Journal of Social Sciences, 1:499-521.
Gülev D. (2008). Biyoloji Öğretmen Adaylarının Biyoloji Konularındaki Kavram Yanılgıları, Biyoloji Öğretimine Yönelik Özyeterlik İnançları ve Tutumları [Biology Teacher Candidates' Misconceptions on Biology Topics, Self-Efficacy Beliefs and Attitudes Towards Biology Teaching]. Master thesis, University of Gazi, Ankara.
Hamidah, I., Sriyono, S., &Hudha, M. N. (2020). A Bibliometric analysis of Covid-19 research using VOSviewer. Indonesian Journal of Science and Technology, 5(2):209-216. DOI: https://doi.org/10.17509/ijost.v5i2.24522
He, T., Wang, D., Wu, Z., Huang, C., Xu, X., Xu, X., & Yang, C. (2022). A bibliometric analysis of research on (R)-ketamine from 2002 to 2021. Neuropharmacology, 218:109207. DOI: https://doi.org/10.1016/j.neuropharm.2022.109207
Helm, H. (1980). Misconceptions in physics amongst South African students. Physics Education, 15(2):92. DOI: https://doi.org/10.1088/0031-9120/15/2/308
Henson, K.T. (2001). Writing for professional journals: Paradoxes and promises. Phi Delta Kappan, 82:765-768. DOI: https://doi.org/10.1177/003172170108201012
Işın, A. (2022). The investigation of studies concerning to corporate social responsibility practices in restaurants through bibliometric analysis: A Research on Scopus Journals. İşletme Araştırmaları Dergisi, 14(1):1063-1076. DOI: https://doi.org/10.20491/isarder.2022.1427
Karagöz, B., & Ardiç, İ. K. (2019). Ana Dili Eğitimi Dergisinde yayımlanan makalelerin bibliyometrik analizi [Bibliometric analysis of articles published in the Journal of Native Language Education]. Ana Dili Eğitimi Dergisi, 7(2):419-435. DOI: https://doi.org/10.16916/aded.482628
Karamustafaoğlu, O. (2009). Fen ve teknoloji eğitiminde temel yönelimler [Basic trends in science and technology education]. Kastamonu Eğitim Dergisi, 17(1):87-102.
Karasar, N. (2009). Bilimsel araştırma yöntemi: Kavramlar-ilkeler-teknikler [Scientific research method: Concepts-principles-techniques]. Ankara: Nobel Yayin Dağitim. ISBN:978-605-5426-58-3.
Keleş, E., & Kefeli, P. (2010). Determination of student misconceptions in “photosynthesis and respiration” unit and correcting them with the help of cai material. Procedia-Social and Behavioral Sciences, 2(2):3111-3118. DOI: https://doi.org/10.1016/j.sbspro.2010.03.474
Kulak M. & Cetinkaya H. (2018) A systematic review: polyphenol contents in stressed-olive trees and its fruit oil. Polyphenols Section, 1:1-20. DOI: https://doi.org/10.5772/intechopen.76703
Kulak, M. (2018) A bibliometric review of research trends in salicylic acid uses in agricultural and biological sciences: Where have been studies directed? Agronomy, 61(1):296-303.
Kumar, S., Pandey, N., Lim, W. M., Chatterjee, A. N., & Pandey, N. (2021). What do we know about transfer pricing? Insights from bibliometric analysis. Journal of Business Research, 134:275-287. DOI: https://doi.org/10.1016/j.jbusres.2021.05.041
Kuzior, A., & Sira, M. (2022). A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability, 14(13):8206. DOI: https://doi.org/10.3390/su14138206
Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & López-Cózar, E. D. (2018). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4):1160-1177. DOI: https://doi.org/10.1016/j.joi.2018.09.002
Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27:420-433. DOI: https://doi.org/10.1016/j.asoc.2014.10.035
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29 (1):4. DOI: https://doi.org/10.3145/epi.2020.ene.03
Mulyawati, I. B., &Ramadhan, D. F. (2021). Bibliometric and visualized analysis of scientific publications on geotechnics fields. ASEAN Journal of Science and Engineering Education, 1(1):37-46. DOI: https://doi.org/10.17509/ajsee.v1i1.32405
Novak, J. D. (1977). An Alternative to Piagetian Psychology for Science and Mathematics Education. Science Education, 61(4):453-77. DOI: https://doi.org/10.1002/sce.3730610403
Orhan, S. İ., & Aydın, A. (2022). Examination of articles on science (science, physics, chemistry, biology) and mathematics education by the science mapping method: A bibliometric analysis.Van Yüzüncü Yıl University Journal of Education, 19(3):603-643. DOI: https://doi.org/10.33711/yyuefd.1083488
Özgirgin, N. (2010). Uluslararası İndeksler Neden Önemli? [Why Are International Indices Important?] Sağlık Bilimlerinde Süreli Yayıncılık: Türk Tıp Dizini: 37-43.
Özay, M.A. (2022). Bilimsel Gelişmeler Işığında Yönetim ve Strateji Araştırmaları [Management and Strategy Research in the Light of Scientific Developments], Ekin Yayınevi. ISBN: 9786258117370.
Polat, C., Sağlam, M., & Sarı, T. (2013). Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi’nin bibliyometrik analizi [Bibliometric analysis of Atatürk University Journal of Economics and Administrative Sciences]. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 27(2):273-288.
Ramalho, A., Souza, J. & Freitas, A. (2020). The use of artificial intelligence for clinical coding automation: a bibliometric analysis. In International Symposium on Distributed Computing and Artificial Intelligence. Springer: 274-283. DOI: https://doi.org/10.1007/978-3-030-53036-5_30
Riche, R. D. (2000). Strategies for Assisting Students Overcome Their Misconceptions in High School Physics. Education, 6390:57.
Şimşek, A., Özdamar, N., Becit, G., Kılıçer, K., Akbulut, Y., & Yıldırım, Y. (2008). Türkiye’deki eğitim teknolojisi araştırmalarında güncel eğilimler [Current trends in educational technology research in Turkey]. Selçuk Üniversitesi Sosyal Bilimler Dergisi, 19:439-458.
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How to Cite
Konu Kadirhanoğulları, M., & Özay Köse, E. (2024). Bibliometric Analysis of Articles Related Misconception in Biology by Country and Journal. Science Insights Education Frontiers, 22(2), 3567–3581. https://doi.org/10.15354/sief.24.or580
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