Mathematical literacy of prospective mathematics teacher based on cognitive style

Authors

  • Fransiskus Gatot Iman Santoso Universitas Katolik Widya Mandala Surabaya
  • Ana Easti Rahayu Maya Sari Universitas Katolik Widya Mandala Surabaya

DOI:

https://doi.org/10.29408/jel.v11i2.28494

Keywords:

mathematical literacy, cognitive style, pre-service teachers, Field Independent, Field Dependent

Abstract

Mathematical literacy has become a crucial competency that prospective mathematics teachers must master, especially in the context of globalization. However, a significant challenge is the low mathematical literacy skills, particularly in communication, reasoning, and mathematical modeling. This study aims to analyze the mathematical literacy skills of prospective mathematics teachers based on their cognitive styles, namely field-independent (FI) and field-dependent (FD). A descriptive qualitative approach was used with four students selected based on cognitive style tests and mathematical literacy tests. The instruments used included PISA-based mathematical literacy tests, the Group Embedded Figures Test (GEFT), semi-structured interviews, and observation sheets. The results indicated that students with the FI cognitive style exhibited better communication, mathematization, representation, and reasoning skills, especially in numerical-based problems. In contrast, students with the FD cognitive style faced difficulties in mathematics, representation, and using symbols and diagrams, particularly in data-based and visual problems. Cognitive style plays a significant role in shaping students' mathematical literacy skills and should be considered in teacher education programs.

References

Almarashdi, H. S., & Jarrah, A. M. (2022). The impact of a proposed mathematics enrichment program on UAE students’ mathematical literacy based on the PISA framework. Sustainability, 14(18), 1–13. https://doi.org/10.3390/su141811259

Batubara, A. (2023). Dependent and independent cognitive style learning model in mathematics subject outcomes. Randwick International of Education and Linguistics Science Journal, 4(2), 323–331. https://doi.org/10.47175/rielsj.v4i2.701

Bintoro, H. S., Sukestiyarno, Y. L., Mulyono, M., & Walid, W. (2022). The spatial thinking process of the field-dependent students in reconstructing the geometrical concept. International Journal of Evaluation and Research in Education (IJERE), 11(3), 1116–1124. https://doi.org/10.11591/ijere.v11i3.22399

Blandford, A. (2019). Semi-structured qualitative studies. In The Encyclopedia of Human-Computer Interaction. https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/semi-structured-qualitative-studies?srsltid=AfmBOorHQN8SidcARpNs8t708uzhjamQuJ3kBEy1nlKQq4R2ZhRv7ov5

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806

Brooks, J., & King, N. (2017). Applied qualitative research in psychology (1st Editio). Bloomsbury Academic. https://doi.org/10.1057/978-1-137-35913-1

Chen, S. Y., & Macredie, R. D. (2002). Cognitive styles and hypermedia navigation: development of a learning model. Journal of the American Society for Information Science and Technology, 53(1), 3–15. https://doi.org/10.1002/asi.10023

Creswell, J. W., & J. David Creswell. (2019). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

Dewi, N. R., & Maulida, N. F. (2023). The development of STEM-nuanced mathematics teaching materials to enhance students’ mathematical literacy ability through information and communication technology-assisted preprospec learning model. International Journal of Educational Methodology, 9(2), 409–421. https://doi.org/10.12973/ijem.9.2.409

Febrina, R. C., Nasrullah, Rosalina, E., & Asrimawati, I. F. (2022). The influence of field independence-dependence in second language acquisition. Intensive Journal, 5(2), 127–135. https://doi.org/10.31602/intensive.v5i2.7930

Flick, U. (2018). An introduction to qualitative research. Sage Publication.

Ford, N., Wilson, T. D., Foster, A., Ellis, D., & Spink, A. (2002). Information seeking and mediated searching. Journal of the American Society for Information Science and Technology, 53(9), 728–735. https://doi.org/10.1002/asi.10084

Gordon, H. R. D., & Wyant, L. J. (1994). Cognitive style of selected international and domestic graduate students at Marshall University. https://files.eric.ed.gov/fulltext/ED372711.pdf

Guillot, A., & Collet, C. (2004). Field dependence–independence in complex motor skills. Perceptual and Motor Skills, 98(2), 575–583. https://doi.org/10.2466/pms.98.2.575-583

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), 012053. https://doi.org/10.1088/1742-6596/1320/1/012053

Kusuma, D., Sukestiyarno, Y. ., Wardono, W., & Cahyono, A. N. (2021). The characteristics of mathematical literacy based on students’ executive function. European Journal of Educational Research, 11(1), 193–206. https://doi.org/10.12973/eu-jer.11.1.193

Lee, X., & Wang, C. (2020). Study of the correlation between field cognitive styles and english reading strategies. International Journal of Language & Linguistics, 7(1), 1–8. https://doi.org/10.30845/ijll.v7n1p1

Lestari, Y., As’ari, A. R., & Muksar, M. (2021). Analysis of students’ mathematical literacy skill in solving pisa mathematical problems. MaPan, 9(1), 102-118. https://doi.org/10.24252/mapan.2021v9n1a7

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.

Memnun, D. S., Akkaya, R., & Hacıomeroglu, G. (2012). The Effect of prospective teachers problem solving beliefs on self-efficacy beliefs about mathematical literacy. Journal of College Teaching & Learning (TLC), 9(4), 289–298. https://doi.org/10.19030/tlc.v9i4.7299

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (Third ed.). Sage Publications.

Nisa, F. K., & Arliani, E. (2023). Junior high school students’ mathematical literacy in terms of mathematical self-efficacy. Jurnal Elemen, 9(1), 283–297. https://doi.org/10.29408/jel.v9i1.7140

Norhidayah, S. (2023). Mathematical reasoning ability as a tool to improve mathematical literacy. Hipotenusa: Journal of Mathematical Society, 5(2), 147–158. https://doi.org/10.18326/hipotenusa.v5i2.565

Nozari, A., & Siamian, H. (2015). The relationship between field dependent-independent cognitive style and understanding of English text reading and academic success. Materia Socio Medica, 27(1), 39-41. https://doi.org/10.5455/msm.2014.27.39-41

OECD. (2018). PISA 2018 Assessment and analytical framework. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publications/reports/2019/04/pisa-2018-assessment-and-analytical-framework_d1c359c7/b25efab8-en.pdf

Purnaningtyas, Y., & Safa’atullah, M. F. (2023). Students’ mathematical literacy ability in terms of self efficacy through problem based learning with PMRI approach. Unnes Journal of Mathematics Education, 12(1), 34–41. https://doi.org/10.15294/ujme.v12i1.67553

Santia, I. (2023). Exploring students’ numerical literacy on statistical problem-solving in Indonesia. Qubahan Academic Journal, 3(4), 289–297. https://doi.org/10.58429/qaj.v3n4a181

Sari, R. M. M., Priatna, N., & Juandi, D. (2022). Implementing project-based blended learning model using cognitive conflict strategy to enhance students’ mathematical spatial literacy. European Journal of Educational Research, 11(4), 2031–2041. https://doi.org/10.12973/eu-jer.11.4.2031

Setiawan, A., Degeng, İ., Sa’dijah, C., & Praherdhiono, H. (2020). The effect of collaborative problem solving strategies and cognitive style on students’ problem solving abilities. Journal for the Education of Gifted Young Scientists, 8(4), 1618–1630. https://doi.org/10.17478/jegys.812781

Sobirin, J. H., Setiawan, Y. E., & Faradiba, S. S. (2023). Mathematical representations based on field-dependent and field-independent cognitive styles. JME (Journal of Mathematics Education), 8(2), 137–149. https://doi.org/10.31327/jme.v8i2.1981

Sutama, S., Anif, S., Prayitno, H. J., Narimo, S., Fuadi, D., Sari, D. P., & Adnan, M. (2021). Metacognition of Junior high school students in mathematics problem solving based on cognitive style. Asian Journal of University Education, 17(1), 134–144. https://doi.org/10.24191/ajue.v17i1.12604

Tambunan, H. (2021). Analysis of mathematics teacher performance in building resilience and mathematical literacy on student learning outcomes. Universal Journal of Educational Research, 9(1), 108–115. https://doi.org/10.13189/ujer.2021.090112

Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1–64. https://doi.org/10.3102/00346543047001001

Zhang, L. (2004). Field-dependence/independence: cognitive style or perceptual ability?––Validating against thinking styles and academic achievement. Personality and Individual Differences, 37(6), 1295–1311. https://doi.org/10.1016/j.paid.2003.12.015

Downloads

Published

31-05-2025

How to Cite

Santoso, F. G. I., & Ana Easti Rahayu Maya Sari. (2025). Mathematical literacy of prospective mathematics teacher based on cognitive style. Jurnal Elemen, 11(2), 427–446. https://doi.org/10.29408/jel.v11i2.28494

Issue

Section

Articles

Similar Articles

<< < 16 17 18 19 20 21 22 > >> 

You may also start an advanced similarity search for this article.