Research Article
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Mathematical literacy, thinking, and teacher self-efficacy: A latent profile analysis of preservice teachers' competencies

Year 2025, Volume: 12 Issue: 4, 891 - 904
https://doi.org/10.21449/ijate.1554552

Abstract

Professional competence is an important factor in determining the quality of teachers' education. A limited number of studies examine preservice teachers' professional competencies from a person-centered approach. The current study aims to identify latent profiles of preservice teachers' professional competencies. Data were collected from 545 preservice elementary mathematics teachers. The results showed significant relationships between self-efficacy in mathematical literacy, mathematical thinking, and teachers' self-efficacy in mathematical language. The findings revealed that preservice teachers were classified with three different profiles in professional competencies: low, medium, and high. The findings may help target preservice teachers in the risk group of professional competencies and develop programs that will enable them to develop these competencies.

Ethical Statement

Ağrı İbrahim Çeçen University Ethics Committee, 30.05.2024, 200.

References

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  • Aktulun, Ö.U. (2018). Examination of the relationships between mathematics literacy self-efficacy perceptions of preschool teachers and geometric shape recognition and number skills of children with structural equation modelling. International Education Studies, 11(12), 63-77. https://doi.org/10.5539/ies.v11n12p63
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  • Barçın, N., & Yenmez, A.A. (2023). Geogebra software on the mathematical language developments and self-efficacy perceptions of students. International e-Journal of Educational Studies, 7(15), 682-704. https://doi.org/10.31458/iejes.1340349
  • Berg, D.A.G., Ingram, N., Asil, M., Ward, J., & Smith, K.J. (2025). Self-efficacy in teaching mathematics and the use of effective pedagogical practices in New Zealand primary schools. Journal of Mathematics Teacher Education, 28, 129 149. https://doi.org/10.1007/s10857 024-09623-9
  • Berlin, K.S., Williams, N.A., & Parra, G.R. (2014). An introduction to latent variable mixture modeling (part 2): Longitudinal latent class growth analysis and growth mixture models. Journal of Pediatric Psychology, 39(2), 188–203. https://doi.org/10.1093/jpepsy/jst085
  • Blömeke, S., Kaiser, G., König, J., & Jentsch, A. (2020). Profiles of mathematics teachers’ competence and their relation to instructional quality. ZDM Mathematics Education, 52, 329-342. https://doi.org/10.1007/s11858-020-01128-y
  • Blömeke, S., Jentsch, A., Ross, N., Kaiser, G., & König, J. (2022). Opening up the black box: Teacher competence, instructional quality, and students’ learning progress. Learning and Instruction, 79, Article 101600. https://doi.org/10.1016/j.learninstruc.2022.101600
  • Browne, M.W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005
  • Buchholtz, N., Kaiser, G., & Schwarz, B. (2023). The evolution of research on mathematics teachers’ competencies, knowledge and skills. In A. Manizade, N. Buchholtz, & K. Beswick (Eds.), The evolution of research on teaching mathematics: International perspectives in the digital Era (pp. 55-89). Springer. https://doi.org/10.1007/978-3-031-31193-2_3
  • Busnawir, B., La, M., Sudia, M., Idris, M., & Sadikin, S. (2021). Analysis of mathematical literacy ability in terms of self-efficacy high and low. International Journal of New Trends in Arts, Sports & Science Education, 10(5), 316-325.
  • Collins, L.M., & Lanza, S.T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Wiley. https://doi.org/10.1002/9780470567333
  • Cresswell, C., & Speelman, C.P. (2020). Does mathematics training lead to better logical thinking and reasoning? A cross-sectional assessment from students to professors. PLoS One, 15(7), e0236153. https://doi.org/10.1371/journal.pone.0236153
  • Dervenis, C., Fitsilis, P., & Iatrellis, O. (2022). A review of research on teacher competencies in higher education. Quality Assurance in Education, 30(2), 199 220. https://doi.org/10.1108/QAE-08-2021-0126
  • Ekmekci, A., & Serrano, D.M. (2022). The impact of teacher quality on student motivation, achievement, and persistence in science and mathematics. Education Sciences, 12(10), 649. https://doi.org/10.3390/educsci12100649
  • Ersoy, E., & Başer, N. (2013). Matematiksel düşünme ölçeğinin geliştirilmesi [The development of mathematical thinking scale]. Kastamonu Education Journal, 21(4), 1471-1486. https://dergipark.org.tr/en/pub/kefdergi/issue/22604/241557
  • Gardesten, M. (2023). How co-teaching may contribute to inclusion in mathematics education: A systematic literature review. Education Sciences, 13(7), 677. https://doi.org/10.3390/educsci13070677
  • Genç, M., & Erbas, A.K. (2019). Secondary mathematics teachers’ conceptions of mathematical literacy. International Journal of Education in Mathematics, Science and Technology, 7, 222-237.
  • Güneş, G., & Gökçek, T. (2013). Öğretmen adaylarının matematik okuryazarlık düzeylerinin belirlenmesi [Determination of preservice teachers’ mathematical literacy levels]. Dicle University Journal of Ziya Gökalp Education Faculty, 20, 70-79.
  • Hu, L.T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 1, 1–55. https://doi.org/10.1080/10705519909540118
  • Jentsch, A., & König, J. (2022). Teacher competence and professional development. In T. Nilsen, A. Stancel-Piątak, & J.-E. Gustafsson (Eds.), International handbook of comparative large-scale studies in education: Perspectives, methods and findings (pp. 1167-1183). Springer. https://doi.org/10.1007/978-3-030-88178-8_38
  • Kabael, T., & Yayan, B. (2017). Effect of self-evaluation on preservice mathematics teachers' self-efficacy in the language of mathematics. Anadolu Journal of Educational Sciences International, 7(1), 1-34.
  • Karademir, Ç.A., & Deveci, Ö. (2019). Sınıf öğretmeni adaylarının matematik öğretiminde matematik dili kullanımları ve matematik okuryazarlığı öz yeterlik algıları [Primary pre-service teachers’ mathematical language usage in mathematics instruction and mathematical literacy self-efficacy perceptions]. İnönü University Journal of the Faculty of Education, 20(3), 695-708. https://doi.org/10.17679/inuefd.419755
  • Kline, R.B. (2015). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
  • Kurniawati, N.D.L., & Mahmudi, A. (2019). Analysis of mathematical literacy skills and mathematics self-efficacy of junior high school students. Journal of Physics: Conference Series, 1320(1), Article 012053. https://doi.org/10.1088/1742-6596/1320/1/012053
  • Mukuka, A., Balimuttajjo, S., & Mutarutinya, V. (2023). Teacher efforts towards the development of students’ mathematical reasoning skills. Heliyon, 9(4), Article e14789. https://doi.org/10.1016/j.heliyon.2023.e14789
  • Nilimaa, J. (2023). New examination approach for real-world creativity and problem-solving skills in mathematics. Trends in Higher Education, 2(3), 477 495. https://doi.org/10.3390/higheredu2030028
  • OECD. (2023). PISA 2022 assessment and analytical framework. OECD Publishing. https://doi.org/10.1787/7ea9ee19-en
  • Olawale, B.E. (2024). Impact of preservice teacher education programme on mathematics student teachers' teaching practices during school experiences. Education Sciences, 14(7), Article 762. https://doi.org/10.3390/educsci14070762
  • Ozgen, K. (2019). Problem-posing skills for mathematical literacy: The sample of teachers and preservice teachers. Eurasian Journal of Educational Research, 19(84), 179 212. https://doi.org/10.14689/ejer.2019.84.9
  • Önal, H., Yorulmaz, A., Gökbulut, Y., & Çilingir Altıner, E. (2017). The relationship between preservice class teachers' self-efficacy in mathematical literacy and their attitudes towards mathematics. Journal of Education and Practice, 8, 170-179.
  • Özgen, K., & Bindak, R. (2008). Matematik okuryazarlığı öz-yeterlik ölçeğinin geliştirilmesi [The development of self-efficiacy scale for mathematics literacy]. Kastamonu Education Journal, 16(2), 517-528.
  • Pastor, D.A., Barron, K.E., Miller, B.J., & Davis, S.L. (2007). A latent profile analysis of college students' achievement goal orientation. Contemporary Educational Psychology, 32(1), 8–47. https://doi.org/10.1016/j.cedpsych.2006.10.003
  • Peter, E.E. (2012). Critical thinking: Essence for teaching mathematics and mathematics problem solving skills. African Journal of Mathematics and Computer Science Research, 5(3), 39-43. https://doi.org/10.5897/AJMCSR11.161
  • Rojas, E., & Benakli, N. (2020). Mathematical literacy and critical thinking. In J. C. But (Ed.), Teaching college-level disciplinary literacy: Strategies and practices in STEM and professional studies (pp. 197-226). Springer. https://doi.org/10.1007/978-3-030-39804-0_8
  • Saatçioğlu, F.M. (2023). Örtük profil analizi ile öğrencilerin matematik tutum profillerinin belirlenmesi üzerine bir araştırma [A study on determining students' mathematical attitude profiles by latent profile analysis]. Gazi University Gazi Faculty of Education Journal, 43(3), 1623-1643. https://doi.org/10.17152/gefad.1352037
  • Schel, J., & Drechsel, B. (2025). A latent profile analysis for teacher education students’ learning: An overview of competencies in self-regulated learning. Frontiers in Psychology, 16, Article 1527438. https://doi.org/10.3389/fpsyg.2025.1527438
  • Schwarz, B., & Kaiser, G. (2019). The professional development of mathematics teachers. In G. Kaiser & N. Presmeg (Eds.), Compendium for early career researchers in mathematics education (pp. 325-343). Springer. https://doi.org/10.1007/978-3-030-15636-7_15
  • Shiel, G., & Cartwright, F. (2015). Analyzing Data from a National Assessment of Educational Achievement (Vol. 4). World Bank Publications.
  • Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, Article 103445. https://doi.org/10.1016/j.jvb.2020.103445
  • Steele, D.F. (2001). Using sociocultural theory to teach mathematics: A Vygotskian perspective. School Science and Mathematics, 101(8), 404 416. https://doi.org/10.1111/j.1949-8594.2001.tb17876.x
  • Şahal, M., Özdemir, A., & Karaşan, S. (2021). An examination of the relationship between secondary school students’ abstract thinking skills, self-efficacy perceptions and attitudes towards mathematics. Participatory Educational Research, 8(2), 391 406. https://doi.org/10.17275/per.21.45.8.2
  • Şata, M. (2020). Nicel araştırma yaklaşımları [Quantitative research approaches] In E. Oğuz (Ed.), Eğitimde Araştırma Yöntemleri (pp. 77-98). Eğiten Kitap.
  • Thompson, D.R., & Chappell, M.F. (2007). Communication and representation as elements in mathematical literacy. Reading & Writing Quarterly, 23(2), 179 196. https://doi.org/10.1080/10573560601158495
  • Topbaş Tat, E. (2018). Prospective mathematics teachers' perceived self-efficacy in mathematical literacy. Elementary Education Online, 17(2), 489 499. https://doi.org/10.17051/ilkonline.2018.418887
  • Uras, M.C., Şata, M., & Soylu, Y. (2024). Investigation of preservice teachers' statistical literacy levels. International Journal of Educational Studies and Policy, 5(2), 174 185. https://doi.org/10.5281/zenodo.14016307
  • Uras, M.C., & Soylu, Y. (2024). Investigation of elementary school mathematics teachers' problem-solving skills without variables and problem-solving strategies. Technology, Innovation and Special Education Research, 4(2), 168-191.
  • Uras, M.C., Kaya, S., Kaya, A., & Yildirim, M. (2025). Unveiling risk profiles: A latent profile analysis of 21st‐century skills, resistance to change, and cognitive flexibility. Brain and Behavior, 15(1), e70167. https://doi.org/10.1002/brb3.70167
  • Vilppu, H., Laakkonen, E., Laine, A., Lähteenmäki, M., Metsäpelto, R.L., Mikkilä-Erdmann, M., & Warinowski, A. (2024). Learning strategies, self-efficacy beliefs and academic achievement of first-year preservice teachers: A person-centred approach. European Journal of Psychology of Education, 39, 1161–1186. https://doi.org/10.1007/s10212-023-00729-x
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Year 2025, Volume: 12 Issue: 4, 891 - 904
https://doi.org/10.21449/ijate.1554552

Abstract

References

  • Akkaya, R., Sezgin Memnun, D., & Katranci, Y. (2012, March 5-9). Teacher trainees' self-efficacy beliefs about mathematical literacy: Turkey case [Paper presentation]. 23rd International Conference Society for Information Technology and Teacher Education, Austin, Texas, United States.
  • Aktulun, Ö.U. (2018). Examination of the relationships between mathematics literacy self-efficacy perceptions of preschool teachers and geometric shape recognition and number skills of children with structural equation modelling. International Education Studies, 11(12), 63-77. https://doi.org/10.5539/ies.v11n12p63
  • 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
  • Barçın, N., & Yenmez, A.A. (2023). Geogebra software on the mathematical language developments and self-efficacy perceptions of students. International e-Journal of Educational Studies, 7(15), 682-704. https://doi.org/10.31458/iejes.1340349
  • Berg, D.A.G., Ingram, N., Asil, M., Ward, J., & Smith, K.J. (2025). Self-efficacy in teaching mathematics and the use of effective pedagogical practices in New Zealand primary schools. Journal of Mathematics Teacher Education, 28, 129 149. https://doi.org/10.1007/s10857 024-09623-9
  • Berlin, K.S., Williams, N.A., & Parra, G.R. (2014). An introduction to latent variable mixture modeling (part 2): Longitudinal latent class growth analysis and growth mixture models. Journal of Pediatric Psychology, 39(2), 188–203. https://doi.org/10.1093/jpepsy/jst085
  • Blömeke, S., Kaiser, G., König, J., & Jentsch, A. (2020). Profiles of mathematics teachers’ competence and their relation to instructional quality. ZDM Mathematics Education, 52, 329-342. https://doi.org/10.1007/s11858-020-01128-y
  • Blömeke, S., Jentsch, A., Ross, N., Kaiser, G., & König, J. (2022). Opening up the black box: Teacher competence, instructional quality, and students’ learning progress. Learning and Instruction, 79, Article 101600. https://doi.org/10.1016/j.learninstruc.2022.101600
  • Browne, M.W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005
  • Buchholtz, N., Kaiser, G., & Schwarz, B. (2023). The evolution of research on mathematics teachers’ competencies, knowledge and skills. In A. Manizade, N. Buchholtz, & K. Beswick (Eds.), The evolution of research on teaching mathematics: International perspectives in the digital Era (pp. 55-89). Springer. https://doi.org/10.1007/978-3-031-31193-2_3
  • Busnawir, B., La, M., Sudia, M., Idris, M., & Sadikin, S. (2021). Analysis of mathematical literacy ability in terms of self-efficacy high and low. International Journal of New Trends in Arts, Sports & Science Education, 10(5), 316-325.
  • Collins, L.M., & Lanza, S.T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Wiley. https://doi.org/10.1002/9780470567333
  • Cresswell, C., & Speelman, C.P. (2020). Does mathematics training lead to better logical thinking and reasoning? A cross-sectional assessment from students to professors. PLoS One, 15(7), e0236153. https://doi.org/10.1371/journal.pone.0236153
  • Dervenis, C., Fitsilis, P., & Iatrellis, O. (2022). A review of research on teacher competencies in higher education. Quality Assurance in Education, 30(2), 199 220. https://doi.org/10.1108/QAE-08-2021-0126
  • Ekmekci, A., & Serrano, D.M. (2022). The impact of teacher quality on student motivation, achievement, and persistence in science and mathematics. Education Sciences, 12(10), 649. https://doi.org/10.3390/educsci12100649
  • Ersoy, E., & Başer, N. (2013). Matematiksel düşünme ölçeğinin geliştirilmesi [The development of mathematical thinking scale]. Kastamonu Education Journal, 21(4), 1471-1486. https://dergipark.org.tr/en/pub/kefdergi/issue/22604/241557
  • Gardesten, M. (2023). How co-teaching may contribute to inclusion in mathematics education: A systematic literature review. Education Sciences, 13(7), 677. https://doi.org/10.3390/educsci13070677
  • Genç, M., & Erbas, A.K. (2019). Secondary mathematics teachers’ conceptions of mathematical literacy. International Journal of Education in Mathematics, Science and Technology, 7, 222-237.
  • Güneş, G., & Gökçek, T. (2013). Öğretmen adaylarının matematik okuryazarlık düzeylerinin belirlenmesi [Determination of preservice teachers’ mathematical literacy levels]. Dicle University Journal of Ziya Gökalp Education Faculty, 20, 70-79.
  • Hu, L.T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 1, 1–55. https://doi.org/10.1080/10705519909540118
  • Jentsch, A., & König, J. (2022). Teacher competence and professional development. In T. Nilsen, A. Stancel-Piątak, & J.-E. Gustafsson (Eds.), International handbook of comparative large-scale studies in education: Perspectives, methods and findings (pp. 1167-1183). Springer. https://doi.org/10.1007/978-3-030-88178-8_38
  • Kabael, T., & Yayan, B. (2017). Effect of self-evaluation on preservice mathematics teachers' self-efficacy in the language of mathematics. Anadolu Journal of Educational Sciences International, 7(1), 1-34.
  • Karademir, Ç.A., & Deveci, Ö. (2019). Sınıf öğretmeni adaylarının matematik öğretiminde matematik dili kullanımları ve matematik okuryazarlığı öz yeterlik algıları [Primary pre-service teachers’ mathematical language usage in mathematics instruction and mathematical literacy self-efficacy perceptions]. İnönü University Journal of the Faculty of Education, 20(3), 695-708. https://doi.org/10.17679/inuefd.419755
  • Kline, R.B. (2015). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
  • Kurniawati, N.D.L., & Mahmudi, A. (2019). Analysis of mathematical literacy skills and mathematics self-efficacy of junior high school students. Journal of Physics: Conference Series, 1320(1), Article 012053. https://doi.org/10.1088/1742-6596/1320/1/012053
  • Mukuka, A., Balimuttajjo, S., & Mutarutinya, V. (2023). Teacher efforts towards the development of students’ mathematical reasoning skills. Heliyon, 9(4), Article e14789. https://doi.org/10.1016/j.heliyon.2023.e14789
  • Nilimaa, J. (2023). New examination approach for real-world creativity and problem-solving skills in mathematics. Trends in Higher Education, 2(3), 477 495. https://doi.org/10.3390/higheredu2030028
  • OECD. (2023). PISA 2022 assessment and analytical framework. OECD Publishing. https://doi.org/10.1787/7ea9ee19-en
  • Olawale, B.E. (2024). Impact of preservice teacher education programme on mathematics student teachers' teaching practices during school experiences. Education Sciences, 14(7), Article 762. https://doi.org/10.3390/educsci14070762
  • Ozgen, K. (2019). Problem-posing skills for mathematical literacy: The sample of teachers and preservice teachers. Eurasian Journal of Educational Research, 19(84), 179 212. https://doi.org/10.14689/ejer.2019.84.9
  • Önal, H., Yorulmaz, A., Gökbulut, Y., & Çilingir Altıner, E. (2017). The relationship between preservice class teachers' self-efficacy in mathematical literacy and their attitudes towards mathematics. Journal of Education and Practice, 8, 170-179.
  • Özgen, K., & Bindak, R. (2008). Matematik okuryazarlığı öz-yeterlik ölçeğinin geliştirilmesi [The development of self-efficiacy scale for mathematics literacy]. Kastamonu Education Journal, 16(2), 517-528.
  • Pastor, D.A., Barron, K.E., Miller, B.J., & Davis, S.L. (2007). A latent profile analysis of college students' achievement goal orientation. Contemporary Educational Psychology, 32(1), 8–47. https://doi.org/10.1016/j.cedpsych.2006.10.003
  • Peter, E.E. (2012). Critical thinking: Essence for teaching mathematics and mathematics problem solving skills. African Journal of Mathematics and Computer Science Research, 5(3), 39-43. https://doi.org/10.5897/AJMCSR11.161
  • Rojas, E., & Benakli, N. (2020). Mathematical literacy and critical thinking. In J. C. But (Ed.), Teaching college-level disciplinary literacy: Strategies and practices in STEM and professional studies (pp. 197-226). Springer. https://doi.org/10.1007/978-3-030-39804-0_8
  • Saatçioğlu, F.M. (2023). Örtük profil analizi ile öğrencilerin matematik tutum profillerinin belirlenmesi üzerine bir araştırma [A study on determining students' mathematical attitude profiles by latent profile analysis]. Gazi University Gazi Faculty of Education Journal, 43(3), 1623-1643. https://doi.org/10.17152/gefad.1352037
  • Schel, J., & Drechsel, B. (2025). A latent profile analysis for teacher education students’ learning: An overview of competencies in self-regulated learning. Frontiers in Psychology, 16, Article 1527438. https://doi.org/10.3389/fpsyg.2025.1527438
  • Schwarz, B., & Kaiser, G. (2019). The professional development of mathematics teachers. In G. Kaiser & N. Presmeg (Eds.), Compendium for early career researchers in mathematics education (pp. 325-343). Springer. https://doi.org/10.1007/978-3-030-15636-7_15
  • Shiel, G., & Cartwright, F. (2015). Analyzing Data from a National Assessment of Educational Achievement (Vol. 4). World Bank Publications.
  • Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, Article 103445. https://doi.org/10.1016/j.jvb.2020.103445
  • Steele, D.F. (2001). Using sociocultural theory to teach mathematics: A Vygotskian perspective. School Science and Mathematics, 101(8), 404 416. https://doi.org/10.1111/j.1949-8594.2001.tb17876.x
  • Şahal, M., Özdemir, A., & Karaşan, S. (2021). An examination of the relationship between secondary school students’ abstract thinking skills, self-efficacy perceptions and attitudes towards mathematics. Participatory Educational Research, 8(2), 391 406. https://doi.org/10.17275/per.21.45.8.2
  • Şata, M. (2020). Nicel araştırma yaklaşımları [Quantitative research approaches] In E. Oğuz (Ed.), Eğitimde Araştırma Yöntemleri (pp. 77-98). Eğiten Kitap.
  • Thompson, D.R., & Chappell, M.F. (2007). Communication and representation as elements in mathematical literacy. Reading & Writing Quarterly, 23(2), 179 196. https://doi.org/10.1080/10573560601158495
  • Topbaş Tat, E. (2018). Prospective mathematics teachers' perceived self-efficacy in mathematical literacy. Elementary Education Online, 17(2), 489 499. https://doi.org/10.17051/ilkonline.2018.418887
  • Uras, M.C., Şata, M., & Soylu, Y. (2024). Investigation of preservice teachers' statistical literacy levels. International Journal of Educational Studies and Policy, 5(2), 174 185. https://doi.org/10.5281/zenodo.14016307
  • Uras, M.C., & Soylu, Y. (2024). Investigation of elementary school mathematics teachers' problem-solving skills without variables and problem-solving strategies. Technology, Innovation and Special Education Research, 4(2), 168-191.
  • Uras, M.C., Kaya, S., Kaya, A., & Yildirim, M. (2025). Unveiling risk profiles: A latent profile analysis of 21st‐century skills, resistance to change, and cognitive flexibility. Brain and Behavior, 15(1), e70167. https://doi.org/10.1002/brb3.70167
  • Vilppu, H., Laakkonen, E., Laine, A., Lähteenmäki, M., Metsäpelto, R.L., Mikkilä-Erdmann, M., & Warinowski, A. (2024). Learning strategies, self-efficacy beliefs and academic achievement of first-year preservice teachers: A person-centred approach. European Journal of Psychology of Education, 39, 1161–1186. https://doi.org/10.1007/s10212-023-00729-x
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There are 56 citations in total.

Details

Primary Language English
Subjects Measurement and Evaluation in Education (Other)
Journal Section Articles
Authors

Muhammed Celal Uras 0000-0003-3994-8723

Mehmet Şata 0000-0003-2683-4997

Yasin Soylu 0000-0003-0906-4994

Early Pub Date October 1, 2025
Publication Date October 13, 2025
Submission Date September 23, 2024
Acceptance Date August 2, 2025
Published in Issue Year 2025 Volume: 12 Issue: 4

Cite

APA Uras, M. C., Şata, M., & Soylu, Y. (2025). Mathematical literacy, thinking, and teacher self-efficacy: A latent profile analysis of preservice teachers’ competencies. International Journal of Assessment Tools in Education, 12(4), 891-904. https://doi.org/10.21449/ijate.1554552

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