Tendencies in the Trends of Mathematics Teacher Knowledge: A Bibliometric Analysis

Authors

  • Dian Permatasari
  • Tatang Herman
  • Siti Fatimah
  • Kusnandi Kusnandi

Keywords:

bibliometric analysis; bibliometrix R package; research trends; mathematics teacher knowledge; tendencies.

Abstract

Despite growing scholarly interest in mathematics teacher knowledge over the past 25 years, no comprehensive systematic mapping has been conducted to examine its conceptual evolution, thematic structure, and developmental trajectory. This study aims to map publication trends; identify high impact works; uncover thematic associations and conceptual co-occurrences; trace the temporal evolution of dominant topics; and classify research themes by their developmental trajectory, distinguishing motor, basic, niche, and declining themes in mathematics teacher knowledge research. A total of 550 Scopus-indexed articles published between 1 January 2000, and 31 December 2025 were analysed using the bibliometrix R package, covering performance analysis, science mapping, and keyword co-occurrence network analysis. The results show a steady increase in publications, with a sharp rise after 2018 and a peak around 2025. Citation impact was highest during the formative period of 2005–2010, reflecting the field’s consolidation around foundational frameworks of mathematical knowledge for teaching. Mathematical content knowledge, PCK, and MKT consistently constitute the field's conceptual core, with mathematical content knowledge serving as the central connecting node across all thematic clusters. Topic trends analysis reveals a clear trajectory from broad theoretical frameworks toward more specialised, practice-oriented, and technology-integrated topics from 2020 onward. Strategic diagram analysis classifies teaching quality and initial teacher education as current motor themes, indicating that the field has matured from defining teacher knowledge to operationalising it in classroom practice. Future research should prioritise cross-database validation and geographic network analysis and should examine how the depth of mathematical content knowledge conditions the development of technology-integrated teaching competencies such as TPACK.

https://doi.org/10.26803/ijlter.25.8.22

References

Akpalu, R., Boateng, P. A., Owusu, J., & Ayisi, E. (2025). Digital Transformation in Mathematics Education: Strategic Responses to E-Learning Challenges. International Journal of Research and Innovation in Social Science, IX(II), 1188–1200. https://doi.org/10.47772/IJRISS.2025.9020096

Alimohammadi, D. (2009). Correlation between references and citations. Webology, 6(2), Article 62.

Alka, Muh., Bancong, H., Sukmawati, Muzaini, M., & Ernawati. (2023). Bibliometric Analysis of Pedagogical Content Knowledge (PCK) Publication Trends in Scopus Database from 2018 to 2022. Studies in Learning and Teaching, 4(2), 306–318. https://doi.org/10.46627/silet.v4i2.222

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Asvat, Z. J. (2024). Pedagogical Content Knowledge Development within Pre-Service Mathematics Teacher Education: A Bibliometric Analysis. Journal of Educational Studies, 23(4), 182–213. https://doi.org/10.59915/jes.2024.23.4.8

Atweh, B., Kaur, B., Nivera, G., Abadi, A., & Thinwiangthong, S. (2023). Futures for Post-Pandemic Mathematics Teacher Education: responsiveness and responsibility in the Face of a Crisis. ZDM – Mathematics Education, 55(1), 65–77. https://doi.org/10.1007/s11858-022-01394-y

Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59(5), 389–407. https://doi.org/10.1177/0022487108324554

Batanero, J. M. F., Reyes Rebollo, M. M., & Rueda, M. M. (2019). Impact of ICT on students with high abilities. Bibliographic review (2008–2018). Computers & Education, 137, 48–58. https://doi.org/10.1016/j.compedu.2019.04.007

Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., Klusmann, U., Krauss, S., Neubrand, M., & Tsai, Y. M. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133–180. https://doi.org/10.3102/0002831209345157

Beswick, K., Callingham, R., & Watson, J. (2012). The nature and development of middle school mathematics teachers’ knowledge. Journal of Mathematics Teacher Education, 15(2), 131–157. https://doi.org/10.1007/s10857-011-9177-9

Blömeke, S., Hsieh, F.-J., Kaiser, G., & Schmidt, W. H. (Eds.). (2014). International perspectives on teacher knowledge, beliefs and opportunities to learn: TEDS-M results. Springer. https://doi.org/10.1007/978-94-007-6437-8

Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – A systematic review of recent trends. Computers & Education, 114, 255–273. https://doi.org/10.1016/j.compedu.2017.07.004

Bretscher, N. (2014). Exploring the quantitative and qualitative gap between expectation and implementation: A survey of English mathematics teachers' uses of ICT. In A. Clark-Wilson, O. Robutti, & N. Sinclair (Eds.), The mathematics teacher in the digital era (pp. 43–70). Springer. https://doi.org/10.1007/978-94-007-4638-1_3

Bromme, R. (1994). Beyond subject matter: A psychological topology of teachers‘professional knowledge. In R. Biehler, R. W. Scholz, R. Strässer, & B. Winkelmann (Eds.), Mathematics didactics as a scientific discipline: The state of the art (pp. 73–88). Kluwer.

Buchholtz, N., Leung, F. K. S., Ding, L., Kaiser, G., Park, K., & Schwarz, B. (2013). Future mathematics teachers’ professional knowledge of elementary mathematics from an advanced standpoint. ZDM, 45(1), 107–120. https://doi.org/10.1007/s11858-012-0462-6

Cai, X., Lyu, X., & Zhou, P. (2023). The relationship between interdisciplinarity and citation impacts a novel perspective on citation accumulation. Humanities and Social Sciences Communications, 10(1), 945. https://doi.org/10.1057/s41599-023-02475-3

Campbell, P. F., Nishio, M., Smith, T. M., Clark, L. M., Conant, D. L., Rust, A. H., DePiper, J. N., Frank, T. J., Griffin, M. J., & Choi, Y. (2014). The Relationship Between Teachers’ Mathematical Content and Pedagogical Knowledge, Teachers’ Perceptions, and Student Achievement. Journal for Research in Mathematics Education, 45(4), 419–459. https://doi.org/10.5951/jresematheduc.45.4.0419

Carrillo-Yañez, J., Climent, N., Montes, M., Contreras, L. C., Flores-Medrano, E., Escudero-Ávila, D., Vasco, D., Rojas, N., Flores, P., Aguilar-González, Á., Ribeiro, M., & Muñoz-Catalán, M. C. (2018). The mathematics teacher’s specialised knowledge (MTSK) model*. Research in Mathematics Education, 20(3), 236–253. https://doi.org/10.1080/14794802.2018.1479981

Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Social Science, 9(5). https://doi.org/10.5539/ass.v9n5p18

Copur-Gencturk, Y. (2015). The Effects of Changes in Mathematical Knowledge on Teaching: A Longitudinal Study of Teachers’ Knowledge and Instruction. Journal for Research in Mathematics Education, 46(3), 280–330. https://doi.org/10.5951/jresematheduc.46.3.0280

Copur-Gencturk, Y., & Doleck, T. (2021). Strategic competence for multistep fraction word problems: an overlooked aspect of mathematical knowledge for teaching. Educational Studies in Mathematics, 107(1), 49–70. https://doi.org/10.1007/s10649-021-10028-1

Darling-Hammond, L. (2017). Teacher education around the world: What can we learn from international practice? European Journal of Teacher Education, 40(3), 291–309. https://doi.org/10.1080/02619768.2017.1315399

Davis, B., & Simmt, E. (2006). Mathematics-for-Teaching: an Ongoing Investigation of the Mathematics that Teachers (Need to) Know. Educational Studies in Mathematics, 61(3), 293–319. https://doi.org/10.1007/s10649-006-2372-4

Dede, E., & Özdemir, E. (2022). Mapping and performance evaluation of mathematics education research in Turkey: A bibliometric analysis from 2005 to 2021. Journal of Pedagogical Research. https://doi.org/10.33902/JPR.202216829

Depaepe, F., Verschaffel, L., & Kelchtermans, G. (2013). Pedagogical content knowledge: A systematic review of the way in which the concept has pervaded mathematics educational research. Teaching and Teacher Education, 34, 12–25. https://doi.org/10.1016/j.tate.2013.03.001

Dogbey, J. (2025). Supporting elementary school teachers enhance their mathematics instruction through invented strategies and classroom discourse. Asian Journal for Mathematics Education, 4(1), 3–30. https://doi.org/10.1177/27527263251318090

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

Drijvers, P. (2019). Head in the clouds, feet on the ground: A realistic view on using digital tools in mathematics education. In Vielfältige Zugänge zum Mathematikunterricht (pp. 163–176). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-24292-3_12

Eaves, J., Attridge, N., & Gilmore, C. (2025). Misconceptions of the order of operations and associativity use. Learning and Instruction, 97, 102074. https://doi.org/10.1016/j.learninstruc.2024.102074

Escudero-Ávila, D., Montes, M., & Contreras, L. C. (2021). What Do Mathematics Teacher Educators Need to Know? Reflections Emerging from the Content of Mathematics Teacher Education (pp. 23–40). https://doi.org/10.1007/978-3-030-62408-8_2

Even, R., & Ball, D. L. (2010). The Professional Education and Development of Teachers of Mathematics (R. Even & D. L. Ball, Eds.; Vol. 11). Springer US. https://doi.org/10.1007/978-0-387-09601-8

Fennema, E., & Franke, M. L. (2006). Teachers’ Knowledge and Its Impact. In Handbook of Research on Mathematics Teaching and Learning (pp. 147–164). Emerald Publishing Limited. https://doi.org/10.1108/978-1-60752-874-620251011

Grigali?nien?, M., Lehtinen, E., Verschaffel, L., & Depaepe, F. (2025). Systematic Review of Research on Pedagogical Content Knowledge in Mathematics: Insights from a Topic-Specific Approach. ZDM – Mathematics Education, 57(4), 777–794. https://doi.org/10.1007/s11858-025-01684-1

Hallinger, P., & Kova?evi?, J. (2021). Science Mapping the knowledge base in educational leadership and management: A longitudinal bibliometric analysis, 1960 to 2018. Educational Management Administration & Leadership, 49(1), 5–30. https://doi.org/10.1177/1741143219859002

Handayani, S., Hussin, M., & Helmi. (2023). Technological Pedagogical Content Knowledge (TPACK) Model in teaching: A Review and Bibliometric Analysis. Pegem Journal of Education and Instruction, 13(3). https://doi.org/10.47750/pegegog.13.03.19

Handayani, S., Hussin, M., & Norman, H. (2023). Technological Pedagogical Content Knowledge (TPACK) Model in Teaching: A Review and Bibliometric Analysis. Pegem Journal of Education and Instruction, 13(3). https://doi.org/10.47750/pegegog.13.03.19

Harris, J., Mishra, P., & Koehler, M. (2009). Teachers’ Technological Pedagogical Content Knowledge and Learning Activity Types. Journal of Research on Technology in Education, 41(4), 393–416. https://doi.org/10.1080/15391523.2009.10782536

Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of Teachers’ Mathematical Knowledge for Teaching on Student Achievement. American Educational Research Journal, 42(2), 371–406. https://doi.org/10.3102/00028312042002371

Hudha, M. N., Hamidah, I., Permanasari, A., Abdullah, A. G., Rachman, I., & Matsumoto, T. (2020). Low Carbon Education: A Review and Bibliometric Analysis. European Journal of Educational Research, 9(1), 319–329. https://doi.org/10.12973/eu-jer.9.1.319

Hwang, S., & Cho, E. (2021). Exploring Latent Topics and Research Trends in Mathematics Teachers’ Knowledge Using Topic Modeling: A Systematic Review. Mathematics, 9(22), 2956. https://doi.org/10.3390/math9222956

Ijeh, S. B., Akpomedaye, J. F. O., Njoseh, I. N., Igabari, J. N., & Enakpoya, E. E. (2025). Exploring Teachers’ Mathematical Knowledge for Teaching and Its Influence on Students Achievement, Retention and Attitude towards Mathematics in Secondary Schools in Nigeria. International Journal of Social Science and Education Research Studies, 05(1), 84-93. https://doi.org/10.55677/ijssers/V05I01Y2025-13

Ishmuradova, I. I., Chistyakov, A. A., Chudnovskiy, A. D., Grib, E. V., Kondrashev, S. V., & Zhdanov, S. P. (2024). A cross-database bibliometrics analysis of blended learning in higher education: Trends and capabilities. Contemporary Educational Technology, 16(2), ep508. https://doi.org/10.30935/cedtech/14478

Jankvist, U. T., Misfeldt, M., & Aguilar, M. S. (2019). What happens when CAS procedures are objectified? —the case of “solve” and “desolve.” Educational Studies in Mathematics, 101(1), 67–81. https://doi.org/10.1007/s10649-019-09888-5

Johnson, F., & Roy, F. G. (2026). Mathematics Teachers’ Pedagogical Content Knowledge in Strengthening Conceptual Understanding in Students with Learning Disabilities: A Practice-Based Conceptual Synthesis. Education Sciences, 16(2), 176. https://doi.org/10.3390/educsci16020176

Kholid, M. N., Hendriyanto, A., Sahara, S., Muhaimin, L. H., Juandi, D., Sujadi, I., Kuncoro, K. S., & Adnan, M. (2023). A systematic literature review of Technological, Pedagogical and Content Knowledge (TPACK) in mathematics education: Future challenges for educational practice and research. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2269047

Koehler, M. J., & Mishra, P. (2005). Teachers learning technology by design. Journal of Computing in Teacher Education, 21(3), 94–102.

König, J., Blömeke, S., Klein, P., Suhl, U., Busse, A., & Kaiser, G. (2014). Is teachers’ general pedagogical knowledge a premise for noticing and interpreting classroom situations? A video-based assessment approach. Teaching and Teacher Education, 38, 76–88. https://doi.org/10.1016/j.tate.2013.11.004

Krauss, S., Baumert, J., & Blum, W. (2008). Secondary mathematics teachers’ pedagogical content knowledge and content knowledge: validation of the COACTIV constructs. ZDM, 40(5), 873–892. https://doi.org/10.1007/s11858-008-0141-9

Lachner, A., Fabian, A., Franke, U., Preiß, J., Jacob, L., Führer, C., Küchler, U., Paravicini, W., Randler, C., & Thomas, P. (2021). Fostering pre-service teachers’ technological pedagogical content knowledge (TPACK): A quasi-experimental field study. Computers & Education, 174, 104304. https://doi.org/10.1016/j.compedu.2021.104304

Lee, H.-J., & Vongkulluksn, V. W. (2023). Enhancing mathematics teacher professional learning through a contextualized professional development program. Teacher Development, 27(1), 92–115. https://doi.org/10.1080/13664530.2022.2134195

Lee, M. Y. (2017). Pre-service teachers’ flexibility with referent units in solving a fraction division problem. Educational Studies in Mathematics, 96(3), 327–348. https://doi.org/10.1007/s10649-017-9771-6

Lynch, K., Gonzalez, K., Hill, H., & Merritt, R. (2025). A Meta-Analysis of the Experimental Evidence Linking Mathematics and Science Professional Development Interventions to Teacher Knowledge, Classroom Instruction, and Student Achievement. AERA Open, 11. https://doi.org/10.1177/23328584251335302

Maher, N., Muir, T., & Chick, H. (2022). Analysing senior secondary mathematics teaching using the Knowledge Quartet. Educational Studies in Mathematics, 110(2), 233–249. https://doi.org/10.1007/s10649-021-10125-1

Marhami, Afgani Dahlan, J., & Dasari, D. (2026). Pedagogical Content Knowledge In Teaching Systems of Linear Equations: A Case of Secondary School Mathematics Teachers. EduMatSains : Jurnal Pendidikan, Matematika Dan Sains, 10(3), 252–266. https://doi.org/10.33541/edumatsains.v10i3.7712

Marks, R. (1990). Pedagogical Content Knowledge: From a Mathematical Case to a Modified Conception. Journal of Teacher Education, 41(3), 3–11. https://doi.org/10.1177/002248719004100302

Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4

Mohr-Schroeder, M., Ronau, R. N., Peters, S., Lee, C. W., & Bush, W. S. (2017). Predicting Student Achievement Using Measures of Teachers’ Knowledge for Teaching Geometry. Journal for Research in Mathematics Education, 48(5), 520–566. https://doi.org/10.5951/jresematheduc.48.5.0520

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

Narayanan, B., G Kumar, A., Gunasekaran, D., Vengayil, R., Maduvegadde, K., & Alampady, N. (2025). Perspectives of Socio-Scientific Issues in Educational Research: A Bibliometric Analysis. Journal of Teaching and Learning, 19(1), 50–84. https://doi.org/10.22329/jtl.v19i1.8985

Narong, D. K., & Hallinger, P. (2024). The evolution of service learning in engineering education: a bibliometric review of research (1995–2023). European Journal of Engineering Education, 49(5), 834–855. https://doi.org/10.1080/03043797.2024.2368148

Nguyen, N., Guerin, C., Barbieri, W., Palmer, E., & Pugsley, P. (2022). The role of technological knowledge in the pedagogical integration of film in disciplinary teaching at universities. Journal of University Teaching & Learning Practice, 19(3), Article 9. https://doi.org/10.53761/1.19.3.09

Niess, M. L. (2005). Preparing teachers to teach science and mathematics with technology: Developing technology pedagogical content knowledge. Teaching and Teacher Education, 21(5), 509–523. https://doi.org/10.1016/j.tate.2005.03.006

Ning, Y., Zhou, Y., Wijaya, T. T., & Chen, J. (2022). Teacher Education Interventions on Teacher TPACK: A Meta-Analysis Study. Sustainability, 14(18), 11791. https://doi.org/10.3390/su141811791

Novikasari, I. (2023). Knowledge of mathematical pedagogy and sustainability consciousness through exploration of local culture-based mathematical modelling. 020013. https://doi.org/10.1063/5.0155185

Özdemir Baki, G., Özkaya, M., & Konyalioglu, A. C. (2022). Teachers’ approaches to student errors in mathematics teaching and noticing of their approaches. Acta Didactica Napocensia, 15(2), 209–229. https://doi.org/10.24193/adn.15.2.14

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, n71. https://doi.org/10.1136/bmj.n71

Pérez Echeverría, M. del P., Cabellos, B., & Pozo, J.-I. (2025). The use of ICT in classrooms: The effect of the pandemic. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13124-w

Pham, H. T., Vu, T. C., Nguyen, L. T., Vu, N.-T. T., Nguyen, T. C., Pham, H.-H. T., Lai, L. P., Le, H.-C. T., & Ngo, C. H. (2023). Professional development for science teachers: A bibliometric analysis from 2001 to 2021. Eurasia Journal of Mathematics, Science and Technology Education, 19(5), em2260. https://doi.org/10.29333/ejmste/13153

Ponte, J. P., & Chapman, O. (2016). Prospective mathematics teachers' learning and knowledge for teaching. In L. D. English & D. Kirshner (Eds.), Handbook of international research in mathematics education (3rd ed., pp. 275–296). Routledge. https://doi.org/10.4324/9780203448946-12

Rowland, T., Huckstep, P., & Thwaites, A. (2005). Elementary Teachers’ Mathematics Subject Knowledge: the Knowledge Quartet and the Case of Naomi. Journal of Mathematics Teacher Education, 8(3), 255–281. https://doi.org/10.1007/s10857-005-0853-5

Sakaria, D. A. L., Maat, S. M. Bin, & Matore, M. E. E. B. M. (2023). Factors influencing mathematics teachers’ pedagogical content knowledge: A systematic review. Pegem Journal of Education and Instruction, 13(2), 1-14. https://doi.org/10.47750/pegegog.13.02.01

Scheiner, T., Montes, M. A., Godino, J. D., Carrillo, J., & Pino-Fan, L. R. (2019). What Makes Mathematics Teacher Knowledge Specialized? Offering Alternative Views. International Journal of Science and Mathematics Education, 17(1), 153–172. https://doi.org/10.1007/s10763-017-9859-6

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. https://doi.org/10.3102/0013189X015002004

Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1–22. https://doi.org/10.17763/haer.57.1.j463w79r56455411

Sosa, L., & Almaraz, C. (2026). Design and Implementation of a teaching proposal of the Fundamental Theorem of Calculus to explore the conjunction of Mathematics Teacher´s Specialized Knowledge and Teaching for Robust Understanding. Annales de Didactique et de Sciences Cognitives, Thématique 4, 187–213. https://doi.org/10.4000/15rjd

Tomaszewski, R. (2023). Visibility, impact, and applications of bibliometric software tools through citation analysis. Scientometrics, 128(7), 4007–4028. https://doi.org/10.1007/s11192-023-04725-2

Utami, A., Sujarwo, S., Fauziyah, P. Y., Mustadi, A., Hidayat, R., & Rofiki, I. (2024). Bibliometric Analysis of Research Developments on Differentiated Instruction. European Journal of Educational Research, 13(3), 1421–1439. https://doi.org/10.12973/eu-jer.13.3.1421

Wei, T., Liu, W., Zheng, Z., Chen, Y., Shen, M., & Li, C. (2022). Bibliometric Analysis of Research Trends on 3-Monochloropropane-1,2-Diol Esters in Foods. Journal of Agricultural and Food Chemistry, 70(49), 15347–15359. https://doi.org/10.1021/acs.jafc.2c06067

Wirzal, M. D. H., Nordin, N. A. H. M., Bustam, M. A., & Joselevich, M. (2022). Bibliometric Analysis of Research on Scientific Literacy between 2018 and 2022: Science Education Subject. International Journal of Essential Competencies in Education, 1(2), 69–83. https://doi.org/10.36312/ijece.v1i2.1070

Yang, X., Kaiser, G., König, J., & Blömeke, S. (2021). Relationship Between Chinese Mathematics Teachers’ Knowledge and Their Professional Noticing. International Journal of Science and Mathematics Education, 19(4), 815–837. https://doi.org/10.1007/s10763-020-10089-3

Yildiz, E., & Arpaci, I. (2024). Understanding pre-service mathematics teachers’ intentions to use GeoGebra: The role of technological pedagogical content knowledge. Education and Information Technologies, 29(14), 18817–18838. https://doi.org/10.1007/s10639-024-12614-1

Yu, Y., Jin, Z., & Qiu, J. (2021). Global Isotopic Hydrograph Separation Research History and Trends: A Text Mining and Bibliometric Analysis Study. Water, 13(18), 2529. https://doi.org/10.3390/w13182529

Yuan, Z., Deng, X., Ding, T., Liu, J., & Tan, Q. (2023). Factors influencing secondary school teachers’ usage behavior of dynamic mathematics software: A partial least squares structural equation modeling (PLS-SEM) method. Electronic Research Archive, 31(9), 5649–5684. https://doi.org/10.3934/era.2023287

Zahner, W., Tenney, K., Pelaez, K., & Choppin, J. (2025). What is Ambitious (Mathematics) Teaching? Clarifying a Key Concept in Education Research and Practice. Journal of Education. https://doi.org/10.1177/00220574251393976

Zou, D., Huang, X., Kohnke, L., Chen, X., Cheng, G., & Xie, H. (2022). A bibliometric analysis of the trends and research topics of empirical research on TPACK. Education and Information Technologies, 27(8), 10585–10609. https://doi.org/10.1007/s10639-022-10991-z

Downloads

Published

2026-08-30

How to Cite

Permatasari, D. ., Herman, T. ., Fatimah, S. ., & Kusnandi , K. . (2026). Tendencies in the Trends of Mathematics Teacher Knowledge: A Bibliometric Analysis. International Journal of Learning, Teaching and Educational Research, 25(8), 561–582. Retrieved from https://www.ijlter.myres.net/index.php/ijlter/article/view/3011