Research Trends in Technological Pedagogical Content Knowledge (TPACK) Research (2014-2024): A Scientometric Analysis
Abstract
Abstract: Research Trends in Technological Pedagogical Content Knowledge (TPACK) Research (2014-2024): A Scientometric Analysis. Objectives: Over the past 20 years, there has been significant progress in TPACK research. Rapid technological advances make research on TPACK very important. However, very few studies have examined references through the application of scientometric analysis. This study aims to identify current and future TPACK trends, subjects, publications, authors, keywords, and author collaboration networks in TPACK research. Methods: Scientometric analysis was carried out on data from the Scopus database, a total of 582 TPACK research publications published from 2014 to March 2024 with keyword Technological Pedagogical Content Knowledge. We also restrict content written in English and limit to final publication stage. This study analysis does not include books, newspaper articles, and book reviews. Data analysis used the R bibliometric packages biblioshiny and VOSviewer. Findings: Based on the analysis results, the keywords that appeared most frequently in publications were TPACK (194 articles). The Australian Journal of Educational Technology is the journal that publishes the most articles on the TPACK theme (24 articles) and also has the highest number of local citations. Chai is number one on the list of authors with the highest impact. Based on the co-occurrence network visualization and word cloud, the organizational support, especially school support, is not yet visible. China, Indonesia, Australia, and the USA are leaders in collaboratives about TPACK topic. Conclusion: This study provides in-depth information about keywords are most pertinent to research on TPACK; journals that hold significant influence, and authors demonstrate prolificacy in studies concerning TPACK; the current trends in TPACK research, and what priority areas warrant further investigation; and the collaborative networks among countries in TPACK research.
Keywords: TPACK, scientometric, biblioshiny, research trends.
DOI: http://dx.doi.org/10.23960/jpp.v14.i1.202426
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Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in M-learning context: A systematic review. Computers and Education, 125(August 2017), 389–412. https://doi.org/10.1016/j.compedu.2018.06.008
Baran, E., Canbazoglu Bilici, S., Albayrak Sari, A., & Tondeur, J. (2019). Investigating the impact of teacher education strategies on preservice teachers’ TPACK. British Journal of Educational Technology, 50(1), 357–370. https://doi.org/10.1111/bjet.12565
Batista-Canino, R. M., Santana-Hernández, L., & Medina-Brito, P. (2023). A scientometric analysis on entrepreneurial intention literature: Delving deeper into local citation. Heliyon, 9(2). https://doi.org/10.1016/j.heliyon.2023.e13046
Brianza, E., Schmid, M., Tondeur, J., & Petko, D. (2024). The digital silver lining of the pandemic: The impact on preservice teachers’ technological knowledge and beliefs. Education and Information Technologies, 29(2), 1591–1616. https://doi.org/10.1007/s10639-023-11801-w
Deng, F., Chai, C. S., So, H.-J., Qian, Y., & Chen, L. (2017). Examining the validity of the technological pedagogical content knowledge (TPACK) framework for preservice chemistry teachers. In Australasian Journal of Educational Technology (Issue 3).
Dewi, N. R., Rusilowati, A., Saptono, S., Haryani, S., Wiyanto, W., Ridlo, S., Listiaji, P., & Atunnisa, R. (2021). Technological, Pedagogical, Content Knowledge (TPACK) Research Trends: A systematic literature review of publications between 2010 - 2020. Journal of Turkish Science Education, 18(4), 589–604. https://doi.org/10.36681/tused.2021.92
Falloon, G. (2020). From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educational Technology Research and Development, 68(5), 2449–2472. https://doi.org/10.1007/s11423-020-09767-4
Hakam, L. I., Ahman, E., Disman, D., Mulyadi, H., & Hakam, D. F. (2023). Research : A Scientometric Analysis. Economies, 11, 269. https://doi.org/https://doi.org/ 10.3390/economies11110269 Academic
Harzing, A. W., & Alakangas, S. (2016). Google scholar, scopus and the web of science: a longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787–804. https://doi.org/10.1007/s11192-015-1798-9
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Jang, J., Ko, Y., Shin, W. S., & Han, I. (2021). Augmented reality and virtual reality for learning: an examination using an extended technology acceptance model. IEEE Access, 9, 6798–6809. https://doi.org/10.1109/ACCESS.2020.3048708
Ke, F., & Hsu, Y. C. (2015). Mobile augmented-reality artifact creation as a component of mobile computer-supported collaborative learning. Internet and Higher Education, 26, 33–41. https://doi.org/10.1016/j.iheduc.2015.04.003
Kirby, A. (2023). Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool. Publications, 11(1), 1–14. https://doi.org/10.3390/publications11010010
Lee, H., Chang, C., & Chung, C. (2021). Research on design thinking and tpack of physical education pre-service teachers. 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings, 2, 9–16. https://scholar.lib.ntnu.edu.tw/en/publications/research-on-design-thinking-and-tpack-of-physical-education-pre-s
Lee, H. Y., Chung, C. Y., & Wei, G. (2022). Research on technological pedagogical and content knowledge: a bibliometric analysis from 2011 to 2020. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.765233
Leitão, J., Pereira, D., Gonçalves, Â., & Oliveira, T. (2023). Digitalizing the pillars of Hybrid Civic Universities: A bibliometric analysis and new taxonomy proposal. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100026. https://doi.org/10.1016/j.joitmc.2023.100026
Marlina, R., Hamdani, H., & Oktavianty, E. (2023). Research trends in technological pedagogical content knowledge (TPACK) reflective practitioners in higher education. AIP Conference Proceedings. https://pubs.aip.org/aip/acp/article/2751/1/060004/2896228
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
Mukminin, A., Habibi, A., & Fridiyanto. (2020). Technology in the classroom: Efl teachers’technological pedagogical and content knowledge. Informatologia, 53(1–2), 24–36. https://doi.org/10.32914/i.53.1-2.3
Nightingale, J. M., & Marshall, G. (2012). Citation analysis as a measure of article quality, journal influence and individual researcher performance. Radiography, 18(2), 60–67. https://doi.org/10.1016/j.radi.2011.10.044
Nousiainen, T., Kangas, M., Rikala, J., & Vesisenaho, M. (2018). Teacher competencies in game-based pedagogy. Teaching and Teacher Education, 74, 85–97. https://doi.org/10.1016/j.tate.2018.04.012
Patra, S. K., & Muchie, M. (2021). Scientific and technical productivity of african countries: what scopus and WIPO Patentscope Data Tell Us? Journal of Scientometric Research, 10(3), 355–365. https://doi.org/10.5530/jscires.10.3.53
Pollack, J., & Adler, D. (2015). Emergent trends and passing fads in project management research: A scientometric analysis of changes in the field. International Journal of Project Management, 33(1), 236–248. https://doi.org/10.1016/j.ijproman.2014.04.011
Sahni, J. (2019). Does blended learning enhance student engagement? evidence from higher education. Journal of E-Learning and Higher Education, 2019(January), 1–14. https://doi.org/10.5171/2019.121518
Scherer, R., Tondeur, J., Siddiq, F., & Baran, E. (2018). The importance of attitudes toward technology for pre-service teachers’ technological, pedagogical, and content knowledge: Comparing structural equation modeling approaches. Computers in Human Behavior, 80, 67–80. https://doi.org/10.1016/j.chb.2017.11.003
Schmid, M., Brianza, E., & Petko, D. (2020). Developing a short assessment instrument for Technological Pedagogical Content Knowledge (TPACK.xs) and comparing the factor structure of an integrative and a transformative model. Computers and Education, 157. https://doi.org/10.1016/j.compedu.2020.103967
Sofwan, M., Yaakob, M. F. M., & Habibi, A. (2024). Technological, pedagogical, and content knowledge for technology integration: a systematic literature review. International Journal of Evaluation and Research in Education , 13(1), 212–222. https://doi.org/10.11591/ijere.v13i1.26643
Su, J. (2023). Preservice teachers ’ technological pedagogical content knowledge development : A bibliometric review. January, 1–11. https://doi.org/10.3389/feduc.2022.1033895
Tseng, J. J., Chai, C. S., Tan, L., & Park, M. (2020). A critical review of research on technological pedagogical and content knowledge (TPACK) in language teaching. Computer Assisted Language Learning, 35(4), 948–971. https://doi.org/10.1080/09588221.2020.1868531
Valtonen, T., Sointu, E., Kukkonen, J., Kontkanen, S., Lambert, M. C., & Mäkitalo-Siegl, K. (2017). TPACK updated to measure pre-service teachers’ twenty-first century skills. In Australasian Journal of Educational Technology (Issue 3).
Voogt, J., & McKenney, S. (2017). TPACK in teacher education: are we preparing teachers to use technology for early literacy? Technology, Pedagogy and Education, 26(1), 69–83. https://doi.org/10.1080/1475939X.2016.1174730
Webb, M., Davis, N., Bell, T., Katz, Y. J., Reynolds, N., Chambers, D. P., Sys, M. M., & Webb, M. (2017). Computer science in K-12 school curricula of the 2lst century : Why , what and when ? Content courtesy of Springer Nature , terms of use apply . Rights reserved . Content courtesy of Springer Nature , terms of use apply . Rights reserved . 445–468. https://doi.org/10.1007/s10639-016-9493-x
Wong, L. H., Chai, C. S., Zhang, X., & King, R. B. (2015). Employing the TPACK framework for researcher-teacher co-design of a mobile-assisted seamless language learning environment. IEEE Transactions on Learning Technologies, 8(1), 31–42. https://doi.org/10.1109/TLT.2014.2354038
Yalcinkaya, M., & Singh, V. (2015). Patterns and trends in Building Information Modeling (BIM) research: A Latent Semantic Analysis. Automation in Construction, 59, 68–80. https://doi.org/10.1016/j.autcon.2015.07.012
Zare-Farashbandi, F., Geraei, E., & Siamaki, S. (2014). Study of co-authorship network of papers in the journal of research in medical sciences using social network analysis. Journal of Research in Medical Sciences, 19(1), 41–46.
Zhao, Y., Zhang, X., Song, Z., Wei, D., Wang, H., Chen, W., Sun, G., Ma, W., & Chen, K. (2020). Bibliometric analysis of ATAC-Seq and Its Use in Cancer Biology via Nucleic Acid Detection. Frontiers in Medicine, 7(November), 1–11. https://doi.org/10.3389/fmed.2020.584728
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