Research trends and emerging areas of interest from 2004 to 2024 in science education

Authors

DOI:

https://doi.org/10.36681/tused.2025.032

Keywords:

science education , research trends, literature review, bibliometric analysis

Abstract

The purpose of this study was to examine the research papers published in 6 SSCI (Social Sciences Citation Index) Q1 (quartile 1) category journals in the field of science education between 2004-2024 years with regard to the most influential publications, prevailing themes, emerging areas of interest, existing and future relationships between topics, social interactions among authors and their affiliations. In this study, the bibliometric analysis was used for a more rigorous and evolution of the field of large amounts of scientific data. Performance analysis and science mapping analysis were performed using the VOSviewer programme. Publication-related metrics, citation-related metrics, and citation and publication-related metrics were documented for the performance analysis. For the science mapping analysis, citation analysis, co-authorship analysis, co-word analysis, and bibliographic coupling analysis were performed. While there was a sharp decline in the number of science education studies published in 2019, science education studies generally show an increasing trend. Science education studies originate mainly from the USA, Australia and England. Prevailing themes were identified: STEM education, chemistry education, scientific inquiry, teacher education, conceptual change, argumentation, and socio-scientific issues. It was found that the research interest of science researchers has changed from COVID-19 to the present (2019 to 2024). Systems thinking, equity, gender, science identity, engineering education, computational thinking, online education, and systematic reviews were identified as emerging areas of interest. This study provides important implications for multiple stakeholders, including science researchers, curriculum developers, science educators, and education policymakers.

Downloads

Download data is not yet available.

References

Abd-El-Khalick, F., BouJaoude, S., Duschl, R., Lederman, N. G., Mamlok-Naaman, R., Hofstein, A., Niaz, M., Treagust, D., & Tuan, H. (2004). Inquiry in science education: International perspectives. Science Education, 88(3), 397–419. https://doi.org/10.1002/sce.10118

Abdullah, K. H. (2022). Publication trends in biology education: A bibliometric review of 63 years. Journal of Turkish Science Education, 19(2), 465-480. https://doi.org/10.36681/tused.2022.131

Abdullah, K. H., Roslan, M. F., Ishak, N. S., Ilias, M., & Dani, R. (2023). Unearthing hidden research opportunities through bibliometric analysis: A review. Asian Journal of Research in Education and Social Sciences, 5(1), 251-262. https://doi.org/10.55057/ajress.2023.5.1.23

Amiruddin, M. Z. B., Samsudin, A., Suhandi, A., Coştu, B., & Prahani, B. K. (2025). Scientific mapping and trend of conceptual change: A bibliometric analysis. Social Sciences & Humanities Open, 11, 101208. https://doi.org/10.1016/j.ssaho.2024.101208

Anwar, S., Menekse, M., Guzey, S., & Bryan, L. A. (2022). The effectiveness of an integrated STEM curriculum unit on middle school students' life science learning. Journal of Research in Science Teaching, 59(7), 1204-1234. https://doi.org/10.1002/tea.21756

Archer, L., Dewitt, J., & Osborne, J. (2015). Is science for us? Black students’ and parents’ views of science and science careers. Science Education, 99(2), 199-237. https://doi.org/10.1002/sce.21146

Balta, N., Japashov, N., Mansurova, A., Tzafilkou, K., Oliveira, A. W., & Lathrop, R. (2023). Middle-and secondary-school students’ STEM career interest and its relationship to gender, grades, and family size in Kazakhstan. Science Education, 107(2), 401–426. https://doi.org/10. 1002/sce.21776

Bayani, F., Rokhmat, J., Hakim, A., & Sukarso, A. A. (2025). Research trends in analytical thinking skills for science education: Insights, pedagogical approaches, and future directions. International Journal of Ethnoscience and Technology in Education, 2(1), 129-157. https://doi.org/10.33394/ijete.v2i1.14142

Bene, K., Lapina, A., Birida, A., Ekore, J. O., & Adan, S. (2021). A Comparative study of self-regulation levels and academic performance among STEM and non-STEM university students using multivariate analysis of variance. Journal of Turkish Science Education, 18(3), 320-337. https://doi.org/10.36681/tused.2021.76

Berland, L. K., & McNeill, K. L. (2010). A learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts. Science Education, 94(5), 765-793. https://doi.org/10.1002/sce.20402

Berland, L. K., & Reiser, B. J. (2009). Making sense of argumentation and explanation. Science Education, 93(1), 26-55. https://doi.org/10.1002/sce.20286

Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363–376. https://doi.org/10.1162/qss_a_00018

Britner, S. L., & Pajares, F. (2006). Sources of science self‐efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485-499. https://doi.org/10.1002/tea.20131

Bretas, V. P., & Alon, I. (2021). Franchising research on emerging markets: Bibliometric and content analyses. Journal of Business Research, 133, 51-65. https://doi.org/10.1016/j.jbusres.2021.04.067

Budak, U. S., & Ceyhan G. D. (2024). Research trends on systems thinking approach in science education. International Journal of Science Education, 46(5), 485-502. https://doi.org/10.1080/09500693.2023.2245106

Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187-1218. https://doi.org/10.1002/tea.20237

Carpi, A., Ronan, D. M., Falconer, H. M., & Lents, N. H. (2017). Cultivating minority scientists: Undergraduate research increases self‐efficacy and career ambitions for underrepresented students in STEM. Journal of Research in Science Teaching, 54(2), 169-194. https://doi.org/10.1002/tea.21341

Chabalengula, V. M., & Mumba, F. (2017). Engineering design skills coverage in K-12 engineering program curriculum materials in the USA. International Journal of Science Education, 39(16), 2209-2225. https://doi.org/10.1080/09500693.2017.1367862

Chang, Y. W., Huang, M. H., & Lin, C. W. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics, 105(3), 2071–2087. https://doi.org/10.1007/s11192-015-1762-8

Chen, C., Doyle, J., Sonnert, G., & Sadler, P. M. (2024). Shrinking gender gaps in STEM persistence: A ten-year comparison of the stability and volatility of STEM career interest in high school by gender. International Journal of Science Education, 1-21. https://doi.org/10.1080/09500693.2024.2388880

Chen, M., & Du, Y. (2016). The status of open access library and information science journals in SSCI. The Electronic Library, 34(5), 722-739. https://doi.org/10.1108/EL-05-2015-0070

Chen, S., & Wei, B. (2022). Development and validation of an instrument to measure high school students’ science identity in science learning. Research in Science Education, 52(1), 111-126. https://doi.org/10.1007/s11165-020-09932-y

Christensen, D., & Lombardi, D. (2023). Biological evolution learning and computational thinking: Enhancing understanding through integration of disciplinary core knowledge and scientific practice. International Journal of Science Education, 45(4), 293-313. https://doi.org/10.1080/09500693.2022.2160221

Clarivate Analytics. (2018). Journal citation reports. https://clarivate.com/products/journal-citation-reports/

Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444-452. https://doi.org/10.1007/s10956-023-10039-y

Dabney, K. P., Tai, R. H., Almarode, J. T., Miller-Friedmann, J. L., Sonnert, G., Sadler, P. M., & Hazari, Z. (2012). Out-of-school time science activities and their association with career interest in STEM. International Journal of Science Education, Part B, 2(1), 63–79. https://doi.org/10. 1080/21548455.2011.629455

Delaney, S., Donnelly, S., Rochette, E. & Orgill, M. (2024). A system mapping activity to visualize lithium’s interconnectedness to societal and environmental aspects of the green energy transition. Chemistry Teacher International, 6(2), 149-163. https://doi.org/10.1515/cti-2023-0051

Delaney, S., Ferguson, J. P., & Schultz, M. (2021). Exploring opportunities to incorporate systems thinking into secondary and tertiary chemistry education through practitioner perspectives. International Journal of Science Education, 43(16), 2618-2639. https://doi.org/10.1080/09500693.2021.1980631

Demir, E. (2022). An examination of high school students critical thinking dispositions and analytical thinking skills. Journal of Pedagogical Research, 6(4), 190-200. https://doi.org/10.33902/jpr.202217357

DeWitt, J., & Archer, L. (2015). Who aspires to a science career? A comparison of survey responses from primary and secondary school students. International Journal of Science Education, 37(13), 2170-2192. https://doi.org/10.1080/09500693.2015.1071899

Dogan, O. K. (2021). Methodological? Or dialectical?: Reflections of scientific inquiry in biology textbooks. International Journal of Science and Mathematics Education, 19(8), 1563-1585. https://doi.org/10.1007/s10763-020-10120-7

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070

Dou, R., Hazari, Z., Dabney, K., Sonnert, G., & Sadler, P. (2019). Early informal STEM experiences and STEM identity: The importance of talking science. Science Education, 103(3), 623-637. https://doi.org/10.1002/sce.21499

Dunleavy, M., Dede, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education and Technology, 18, 7-22. https://doi.org/10.1007/s10956-008-9119-1

Erduran, S., Simon, S., & Osborne, J. (2004). Tapping into argumentation: Developments in the application of Toulmin’s argument pattern for studying science discourse. Science Education, 88(6), 915-933. https://doi.org/10.1002/sce.20012

Fensham, P. J. (2002). Time to change drivers for scientific literacy. Canadian Journal of Science, Mathematics and Technology Education, 2(1), 9–24. https://doi.org/10.1080/14926150209556494

González-Gómez, D., Jeong, J. S., Airado Rodríguez, D., & Cañada-Cañada, F. (2016). Performance and perception in the flipped learning model: an initial approach to evaluate the effectiveness of a new teaching methodology in a general science classroom. Journal of Science Education and Technology, 25, 450-459. https://doi.org/10.1007/s10956-016-9605-9

Guzey, S. S., Moore, T. J., Harwell, M., & Moreno, M. (2016). STEM integration in middle school life science: Student learning and attitudes. Journal of Science Education and Technology, 25, 550-560. https://doi.org/10.1007/s10956-016-9612-x

Henderson, J., Long, D., Berger, P., Russell, C., & Drewes, A. (2017). Expanding the foundation: Climate change and opportunities for educational research. Educational Studies, 53(4), 412-425. https://doi.org/10.1080/00131946.2017.1335640

Hinojosa, L., Swisher, E., & Garneau, N. (2021). The organization of informal pathways into STEM: Designing towards equity. International Journal of Science Education, 43(5), 737-759. https://doi.org/10.1080/09500693.2021.1882010

Hofstein, A., & Lunetta, V. N. (2004). The laboratory in science education: Foundations for the twenty‐first century. Science Education, 88(1), 28-54. https://doi.org/10.1002/sce.10106

Hunter, A. B., Laursen, S. L., & Seymour, E. (2007). Becoming a scientist: The role of undergraduate research in students' cognitive, personal, and professional development. Science Education, 91(1), 36-74. https://doi.org/10.1002/sce.20173

Istyadji, M., & Sauqina (2023). Conception of scientific literacy in the development of scientific literacy assessment tools: A systematic theoretical review. Journal of Turkish Science Education, 20(2), 281-308 https://doi.org/10.36681/tused.2023.016

Kessler, M. M. (1962). An experimental study of bibliographic coupling between technical papers. Massachusetts Institute for Technology, Lincoln Laboratory.

Kiewra, K. A., & Creswell, J. W. (2000). Conversations with three highly productive educational psychologists: Richard Anderson, Richard Mayer, and Michael Pressley. Educational Psychology Review, 12, 135–161. https://doi.org/10.1023/A:1009041202079

Lee, M. H., Wu, Y. T., & Tsai, C. C. (2009). Research trends in science education from 2003 to 2007: A content analysis of publications in selected journals. International Journal of Science Education, 31(15), 1999-2020. https://doi.org/10.1080/09500690802314876

Li, Z., Sahid, S., & Abd Majid, M. Z. (2025). Global research trends on educational investment: A bibliometric analysis. Multidisciplinary Reviews, 8(1), 2025033-2025033. https://doi.org/10.31893/multirev.2025033

Lin, T. C., Lin, T. J., & Tsai, C. C. (2014). Research trends in science education from 2008 to 2012: A systematic content analysis of publications in selected journals. International Journal of Science Education, 36(8), 1346-1372. https://doi.org/10.1080/09500693.2013.864428

Lin, T. J., Lin, T. C., Potvin, P., & Tsai, C. C. (2019). Research trends in science education from 2013 to 2017: A systematic content analysis of publications in selected journals. International Journal of Science Education, 41(3), 367-387. https://doi.org/10.1080/09500693.2018.1550274

Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020). Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 7, 1-16. https://doi.org/10.1186/s40594-020-00207-6

MacCoun, R. J. (1998). Biases in the interpretation and use of research results. Annual Review of Psychology, 49(1), 259–287. https://doi.org/10.1146/annurev.psych.49.1.259

Maddens, L., Depaepe, F., Janssen, R., Raes, A., & Elen, J. (2020). Research skills in upper secondary education and in first year of university. Educational Studies, 47(4), 491-507. https://doi.org/10.1080/03055698.2020.1715204

Martin-Martin, A., Orduña-Malea, E., Harzing, A. W., & López-Cózar, E. D. (2017). Can we use Google Scholar to identify highly-cited documents?. Journal of Informetrics, 11(1), 152-163. https://doi.org/10.1016/j.joi.2016.11.008

Martín‐Páez, T., Aguilera, D., Perales‐Palacios, F. J., & Vílchez‐González, J. M. (2019). What are we talking about when we talk about STEM education? A review of literature. Science Education, 103(4), 799-822. https://doi.org/10.1002/sce.21522

Marx, W., & Bornmann, L. (2015). On the causes of subject-specific citation rates in Web of Science. Scientometrics, 102, 1823-1827. https://doi.org/10.1007/s11192-014-1499-9

Mayrath, M. C. (2008). Attributions of productive authors in educational psychology journals. Educational Psychology Review, 20, 41-56. https://doi.org/10.1007/s10648-007-9059-y

McFarlane, A. (2014). Authentic learning for the digital generation: realising the potential of technology in the classroom. Routledge.

Minner, D. D., Levy, A. J., & Century, J. (2010). Inquiry‐based science instruction—what is it and does it matter? Results from a research synthesis years 1984 to 2002. Journal of Research in Science Teaching, 47(4), 474-496. https://doi.org/10.1002/tea.20347

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., The Prisma Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://10.7326/0003-4819-151-4-200908180-00135

National Center for Science and Engineering Statistics (NCSES). (2023). Diversity and STEM: Women, minorities, and persons with disabilities 2023. Special Report NSF 23-315. Alexandria, VA: National Science Foundation. https://ncses.nsf.gov/wmpd.

Ong, M., Smith, J. M., & Ko, L. T. (2018). Counterspaces for women of color in STEM higher education: Marginal and central spaces for persistence and success. Journal of Research in Science Teaching, 55(2), 206-245. https://doi.org/10.1002/tea.21417

Ormanci, U., Cepni, S., Deveci, I., & Aydin, O. (2015). A thematic review of interactive whiteboard use in science education: Rationales, purposes, methods and general knowledge. Journal of Science Education and Technology, 24, 532-548. https://doi.org/10.1007/s10956-014-9543-3

Orbay, M., Karamustafaoğlu, O., & Miranda, R. (2021). Analysis of the journal impact factor and related bibliometric indicators in education and educational research category. Education for Information, 37(3), 315-336. https://doi.org/10.3233/EFI-200442

Osborne, J., Erduran, S., & Simon, S. (2004). Enhancing the quality of argumentation in school science. Journal of Research in Science Teaching, 41(10), 994-1020. https://doi.org/10.1002/tea.20035

Park, S., & Oliver, J. S. (2008). Revisiting the conceptualisation of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals. Research in Science Education, 38, 261-284. https://doi.org/10.1007/s11165-007-9049-6

Passas, I. (2024). Bibliometric analysis: the main steps. Encyclopedia, 4(2). https://doi.org/10.3390/encyclopedia4020065

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.

Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of COVID-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133-141. https://doi.org/10.1177/2347631120983481

Rudolph, J. L. (2024). Scientific literacy: Its real origin story and functional role in American education. Journal of Research in Science Teaching, 61(3), 519-532. https://doi.org/10.1002/tea.21890

Ruiz‐Primo, M. A., & Furtak, E. M. (2007). Exploring teachers' informal formative assessment practices and students' understanding in the context of scientific inquiry. Journal of Research in Science Teaching, 44(1), 57-84. https://doi.org/10.1002/tea.20163

Sadler, T. D. (2004). Informal reasoning regarding socioscientific issues: A critical review of research. Journal of Research in Science Teaching, 41(5), 513-536. https://doi.org/10.1002/tea.20009

Salvadó, Z., Casanoves, M., & Novo, M. (2013). Building bridges between biotech and society through STSE education. The Journal of Deliberative Mechanisms in Science, 2(1), 62-74. https://doi.org/10.4471/demesci.2013.09

Saribas, D. (2023). An online laboratory applications course for the development of scientific practices and scientific method. International Journal of Science Education, 45(16), 1340-1367. https://doi.org/10.1080/09500693.2023.2205550

Schwartz, R. S., Lederman, N. G., & Crawford, B. A. (2004). Developing views of nature of science in an authentic context: An explicit approach to bridging the gap between nature of science and scientific inquiry. Science Education, 88(4), 610-645. https://doi.org/10.1002/sce.10128

Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Acher, A., Fortus, D., Shwartz, Y., Hug, B., &Krajcik, J. S. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632–654. https://doi.org/10.1002/tea.20311

Sengul, O. (2019). Linking scientific literacy, scientific argumentation, and democratic citizenship. Universal Journal of Educational Research, 7(4), 1090-1098. https://doi.org/10.13189/ujer.2019.070421

Seymour, E., Hunter, A. B., Laursen, S. L., & DeAntoni, T. (2004). Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three‐year study. Science Education, 88(4), 493-534. https://doi.org/10.1002/sce.10131

Stevenson, M. P., Hartmeyer, R., & Bentsen, P. (2017). Systematically reviewing the potential of concept mapping technologies to promote self-regulated learning in primary and secondary science education. Educational Research Review, 21, 1–16. https://doi.org/10.1016/j.edurev.2017.02.002

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1273-1296. https://doi.org/10.1007/s11165-016-9602-2

Todd, B. L., & Zvoch, K. (2019). The effect of an informal science intervention on middle school girls’ science affinities. International Journal of Science Education, 41(1), 102-122. https://doi.org/10.1080/09500693.2018.1534022

Tosun, C. (2024). Analysis of the last 40 years of science education research via bibliometric methods. Science & Education, 33(2), 451-480. https://doi.org/10.1007/s11191-022-00400-9

Tsai, C.-C., & Wen, L. M. C. (2005). Research and trends in science education from 1998 to 2002: A content analysis of publication in selected journals. International Journal of Science Education, 27(1), 3–14. https://doi.org/10.1080/0950069042000243727

Trna, J., & Trnova, E. (2015). The current paradigms of science education and their expected impact on curriculum. Procedia-Social and Behavioral Sciences, 197, 271-277. https://doi.org/10.1016/j.sbspro.2015.07.135

Turiman, P., Omar, J., Daud, A. M., & Osman, K. (2012). Fostering the 21st century skills through scientific literacy and science process skills. Procedia-Social and Behavioral Sciences, 59, 110-116. https://doi.org/10.1016/j.sbspro.2012.09.253

Vachliotis, T., Salta, K., & Tzougraki, C. (2014). Meaningful understanding and systems thinking in organic chemistry: Validating measurement and exploring relationships. Research in Science Education, 44(2),239–266. https://doi.org/10.1007/s11165-013-9382-x

Van Eck, N. J., & Waltman, L. (2023). VOSviewer manual. Manual for VOSviewer Version 1.6.19

Van Raan, A. F. (2014). Advances in bibliometric analysis: research performance assessment and science mapping. Bibliometrics Use and Abuse in the Review of Research Performance, 87(4), 17-28.

Vijayan, S. S., & Renjith, V. R. (2021). Visualization of library and information science (LIS) journals in Scimago: an analysis of first quartile (Q1) journals. Library Philosophy and Practice. 5775, 1-15. https://doi.org/10.2139/ssrn.3885177

Wade‐Jaimes, K., King, N. S., & Schwartz, R. (2021). “You could like science and not be a science person”: Black girls' negotiation of space and identity in science. Science Education, 105(5), 855-879. https://doi.org/10.1002/sce.21664

Wang, S., Chen, Y., Lv, X., & Xu, J. (2023). Hot topics and frontier evolution of science education research: A bibliometric mapping from 2001 to 2020. Science & Education, 32(3), 845-869. https://doi.org/10.1007/s11191-022-00337-z

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25, 127-147. https://doi.org/10.1007/s10956-015-9581-5

WISE. (2023). Latest workforce statistics. https://www.wisecampaign.org.uk/latest-workforce- statistics-released-april-2023

Yerdelen-Damar, S., Saglam, H., & Korur, F. (2024). Factors predicting STEM career interest: the mediating role of engagement and epistemic cognition in physics. International Journal of Science Education, 1-45. https://doi.org/10.1080/09500693.2024.2371619

Zeidler, D. L., Sadler, T. D., Applebaum, S., & Callahan, B. E. (2009). Advancing reflective judgment through socioscientific issues. Journal of Research in Science Teaching, 46(1), 74-101. https://doi.org/10.1002/tea.20281

Zhai, Y., Tripp, J., & Liu, X. (2024). Science teacher identity research: a scoping literature review. International Journal of STEM Education, 11(1), 20. https://doi.org/10.1186/s40594-024-00481-8

Zhang, Y., Hu, L., Liao, S., Wang, Y., Ji, X., Liu, X., Huang, F. & Zhu, J. (2023). Bibliometric analysis of publications on enthesitis in spondyloarthritis in 2012–2021 based on web of science core collection databases. Rheumatology International, 43(1), 173-182. https://doi.org/10.1007/s00296-022-05227-9

Zhao, M., Ozturk, E., Law, F., Joy, A., Deutsch, A. R., Marlow, C. S., Mathews, C. J., McGuire, L., Hoffman, A. J., Balkwill, F., Burns, K. P., Butler, L., Drews, M., Fields, G., Smith, H., Winterbottom, M., Mulvey, K. L., Hartstone-Rose, A., & Rutland, A. (2024). Reciprocal associations between science efficacy, STEM identity, and scientist career interest among adolescent girls within the context of informal science learning. Journal of Youth and Adolescence, 52, 2254–2268. https://doi.org/10.1007/s10964-023-01868-6

Downloads

Published

27.11.2025

How to Cite

Budak, U. S., & Yerdelen Damar, S. (2025). Research trends and emerging areas of interest from 2004 to 2024 in science education. Journal of Turkish Science Education, 22(4), 625-654. https://doi.org/10.36681/tused.2025.032