Tonal languages as ethnomathematical objects for strengthening graphical representation literacy and advanced mathematical thinking

Authors

  • Andri Suryana Universitas Indraprasta PGRI
  • Yulian Dinihari Universitas Indraprasta PGRI
  • Mohamed Aidil Subhan Nanyang Technological University

DOI:

https://doi.org/10.58524/jasme.v6i1.983

Keywords:

Advanced Mathematical Thinking, Ethnomathematics, Graphical Representation Literacy;, Pitch Contour, Tonal Languages

Abstract

Background: Advanced Mathematical Thinking, AMT, is crucial in higher mathematics education, yet many students struggle to read and interpret graphical representations, indicating weak representational literacy. Ethnomathematics offers a culturally grounded bridge between abstract mathematics and meaningful real-world phenomena.

Aims: This study aims to explore tonal language pitch as an ethnomathematical object that can be used to strengthen literacy in reading representations and support the development of Advanced Mathematical Thinking, AMT, among mathematics education students.

Method: An exploratory qualitative approach with a mini-ethnographic design was used. Data were collected through recordings of native speakers of Thai, Mandarin, and Vietnamese, visualizations of frequency–time curves, and students’ activities in interpreting graphs.

Results: Acoustic analysis shows that the pitch contours of the three tonal languages have consistent patterns and can be modeled as constant, linear, quadratic, or sinusoidal functions. The findings indicate that the activity of reading pitch curves helps students understand patterns of change, gradients, extreme points, and relationships between variables more intuitively.

Conclusion: Pitch curves derived from cultural phenomena make mathematical graphs more contextual and easier to interpret, thereby strengthening literacy in reading visual representations. In addition, this activity promotes the development of AMT aspects such as structural awareness, the ability to generalize patterns, and making connections.

References

Alam, A., & Mohanty, A. (2024). Unveiling the complexities of ‘Abstract Algebra’ in University Mathematics Education (UME): Fostering ‘Conceptualization and Understanding’ through advanced pedagogical approaches. Cogent Education, 11(1), 2355400. https://doi.org/10.1080/2331186X.2024.2355400

Attard, C., & Holmes, K. (2022). An exploration of teacher and student perceptions of blended learning in four secondary mathematics classrooms. Mathematics Education Research Journal, 34(4), 719–740. https://doi.org/10.1007/s13394-020-00359-2

Batiibwe, M. S. K. (2025). Ethnomathematics as a pedagogical tool for mathematics education: Opportunities and challenges. SN Social Sciences, 5(12), 221. https://doi.org/10.1007/s43545-025-01260-0

Chen, J., Best, C. T., & Antoniou, M. (2023). Phonological and phonetic contributions to Thai-naïve Mandarin and Vietnamese speakers’ imitation of Thai lexical tones: Effects of memory load and stimulus variability. Laboratory Phonology, 14(1). https://doi.org/10.16995/labphon.6435

Gilmore, C. (2023). Understanding the complexities of mathematical cognition: A multi-level framework. Quarterly Journal of Experimental Psychology, 76(9), 1953–1972. https://doi.org/10.1177/17470218231175325

Gul, M. N., Abbasi, W., Babar, M. Z., Aljohani, A., & Arif, M. (2025). Data driven decisions in education using a comprehensive machine learning framework for student performance prediction. Discover Computing, 28(1), 153. https://doi.org/10.1007/s10791-025-09585-3

Halák, J. (2023). Embodied higher cognition: Insights from Merleau-Ponty’s interpretation of motor intentionality. Phenomenology and the Cognitive Sciences, 22(2), 369–397. https://doi.org/10.1007/s11097-021-09769-4

Jaeger, J., Riedl, A., Djedovic, A., Vervaeke, J., & Walsh, D. (2024). Naturalizing relevance realization: Why agency and cognition are fundamentally not computational. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1362658

Kabuye Batiibwe, M. S. (2024a). The role of ethnomathematics in mathematics education: A literature review. Asian Journal for Mathematics Education, 3(4), 383–405. https://doi.org/10.1177/27527263241300400

Kaur, J., Singh, A., & Kadyan, V. (2021). Automatic Speech Recognition System for Tonal Languages: State-of-the-Art Survey. Archives of Computational Methods in Engineering, 28(3), 1039–1068. https://doi.org/10.1007/s11831-020-09414-4

Keren, L. S., Liberzon, A., & Lazebnik, T. (2023). A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge. Scientific Reports, 13(1), 1249. https://doi.org/10.1038/s41598-023-28328-2

Marsigit, Irfan, M., & Sukoco, H. (2025). Evaluation of pedagogical quality in ethnomathematics learning practices. Discover Education, 5(1), 25. https://doi.org/10.1007/s44217-025-01026-z

Matuk, C., Vacca, R., Amato, A., Silander, M., DesPortes, K., Woods, P. J., & Tes, M. (2023). Promoting students’ informal inferential reasoning through arts-integrated data literacy education. Information and Learning Sciences, 125(3–4), 163–189. https://doi.org/10.1108/ILS-07-2023-0088

Mayr, H. C., & Thalheim, B. (2021). The triptych of conceptual modeling. Software and Systems Modeling, 20(1), 7–24. https://doi.org/10.1007/s10270-020-00836-z

Orey, D., & Rosa, M. (2021). Ethnomodelling as a glocalization process of mathematical practices through cultural dynamism. The Mathematics Enthusiast, 18(3), 439–468. https://doi.org/10.54870/1551-3440.1533

Pierson, A. E., Keifert, D. T., Lee, S. J., Henrie, A., Johnson, H. J., & Enyedy, N. (2023). Multiple Representations in Elementary Science: Building Shared Understanding while Leveraging Students’ Diverse Ideas and Practices. Journal of Science Teacher Education, 34(7), 707–731. https://doi.org/10.1080/1046560X.2022.2143612

Rubel, L. H., & McCloskey, A. V. (2021). Contextualization of mathematics: Which and whose world? Educational Studies in Mathematics, 107(2), 383–404. https://doi.org/10.1007/s10649-021-10041-4

Strobach, T., & Huestegge, L. (2021). Structuralist Mental Representation of Dual-action Demands: Mechanisms of Improved Dual-task Performance after Practice in Older Adults. Experimental Aging Research, 47(2), 109–130. https://doi.org/10.1080/0361073X.2021.1873053

Tashtoush, M. A., Al-Qasimi, A. B., Shirawia, N. A., & Rasheed, N. M. (2024). The Impact of STEM Approach to Developing Mathematical Thinking for Calculus Students among Sohar University. European Journal of STEM Education, 9(1). https://eric.ed.gov/?id=EJ1443500

Utami, N. W., Sayuti, S. A., & Jailani, J. (2021). Indigenous artifacts from remote areas, used to design a lesson plan for preservice math teachers regarding sustainable education. Heliyon, 7(3). https://doi.org/10.1016/j.heliyon.2021.e06417

Vitti Rodrigues, M., & Emmeche, C. (2021). Abduction and styles of scientific thinking. Synthese, 198(2), 1397–1425. https://doi.org/10.1007/s11229-019-02127-7

Yamaguchi, J. A. R. (2025). Voice to validation: An epistemic-legitimation cycle for pluriversal mathematics education. Policy Futures in Education, 23(8), 1468–1489. https://doi.org/10.1177/14782103251367219

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, 00220574251393976. https://doi.org/10.1177/00220574251393976

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Published

2026-02-15