Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.22219/mej.v9i2.43364
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Hypothetical Learning Trajectory Using Straws to Teach Subtraction to Elementary School Students

Hypothetical Learning Trajectory Berkonteks Sedotan untuk Mengajarkan Operasi Pengurangan bagi Siswa Sekolah Dasar

##article.authors##

DOI:

https://doi.org/10.21070/ups.10314

Keywords:

Hypothetical Learning Trajectory, Subtraction Operations, Straws, Elementary School Mathematics Learning

Abstract

Hypothetical Learning Trajectory (HLT), which is based on the straw context, was created as a manipulative medium to help elementary school students understand two-digit addition and subtraction procedures. This study involved an initial design stage, two cycles of experimental instruction, and retrospective analysis. HLT was designed to enable students to transition from concrete representations to symbolic understanding of place value, including addition with and without carrying, and subtraction with and without borrowing. The results showed that straws helped students develop the concept of regrouping gradually, improved the accuracy of calculation strategies, and enhanced conceptual understanding, especially of the borrowing and carrying processes. Activities A through D demonstrated the alignment between actual and hypothetical learning trajectories and provided significant manipulative support for low-ability students. The findings indicate that concrete bundling-based media such as straws are effective in improving understanding of number structure and can support mathematics learning in early elementary classrooms.

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References

R. S. Siegler and H. Lortie-Forgues, “Conceptual knowledge of fractions and decimals,” J. Educ. Psychol., vol. 112, no. 3, pp. 459–472, 2020, doi: 10.1037/edu0000374.

J. Mulligan, L. English, and J. Watson, “Whole-number knowledge and early arithmetic strategies in young learners,” Math. Educ. Res. J., vol. 32, no. 4, pp. 531–550, 2020, doi: 10.1007/s13394-019-00277-1.

J. Cai, S. Hwang, C. Jiang, and E. A. Silver, “Mathematical thinking and reasoning: A review of theory and

research,” J. Res. Math. Educ., vol. 52, no. 3, pp. 221–256, 2021, doi: 10.5951/jresematheduc-2021-0056.

NCTM, Principles to actions: Ensuring mathematical success for all. Reston, VA: National Council ofTeachers of Mathematics, 2020.

OECD, “PISA 2022 Results (Volume I): The State of Learning,” 2023. [Online]. Available: https://www.oecd.org/pisa/publications/pisa-2022-results.htm

D. M. Carvalho, “Understanding regrouping through concrete modeling,” Math. Educ. Res. J., vol. 34, no. 3, pp. 457–471, 2022.

B. Rittle-Johnson and M. Schneider, “Developing conceptual and procedural knowledge,” Educ. Psychol., vol. 55, no. 1, pp. 1–14, 2020. [8] J. A. Van de Walle, K. S. Karp, and J. M. Bay-Williams, Elementary and Middle School Mathematics: Teaching Developmentally, 11th ed. Pearson, 2022.

K. C. Fuson and A. Murata, “Blending cultural models and mathematics teaching: Moving from algorithms to understanding,” ZDM Math. Educ., vol. 53, no. 1, pp. 107–121, 2021, doi: 10.1007/s11858-020-01193-5.

A. Kullberg, U. Runesson Kempe, and F. Marton, “Teaching with variation: Research-based strategies for effective learning,” Scand. J. Educ. Res., vol. 66, no. 2, pp. 203–220, 2022, doi: 10.1080/00313831.2021.1952432.

K. Gravemeijer and J. Terwel, “Realistic mathematics education as a new theory of mathematics education,” Educ. Stud. Math., vol. 107, no. 1, pp. 145–161, 2021, doi: 10.1007/s10649-021-10043-2.

A. Bakker, Design research in education: A practical guide for early career researchers. Routledge, 2020.

W. Widjaja, S. Groves, and B. Doig, “Enhancing primary students’ number sense through contextualized tasks,” Math. Educ. Res. J., vol. 33, no. 2, pp. 299–316, 2021, doi: 10.1007/s13394-020-00324-3.

F. Van Nes and M. Doorman, “Students’ reasoning on place value using realistic contexts,” Int. J. STEM Educ., vol. 7, no. 1, pp. 1–18, 2020, doi: 10.1186/s40594-020-00240-9.

M. A. Simon, R. Tzur, K. Heinz, M. Kinzel, and M. Smith, “Explicating a learning trajectory for linear measurement,” J. Res. Math. Educ., vol. 53, no. 2, pp. 134–159, 2022, doi: 10.5951/jresematheduc-2022-0032.

M. Van den Heuvel-Panhuizen, A. Kolovou, and A. Robitzsch, “Diagnosing students’ informal strategies for subtraction,” Educ. Stud. Math., vol. 107, no. 2, pp. 279–300, 2021, doi: 10.1007/s10649-021-10044-1.

B. J. Dougherty, A. Flores, and C. C. Jordan, “Integrating hypothetical learning trajectories with lesson study: Enhancing teaching practices,” Math. Teach. Educ., vol. 11, no. 2, pp. 134–152, 2023, doi: 10.5951/mathteaceduc.11.2.0134.

D. H. Clements and J. Sarama, Learning and teaching early math: The learning trajectories approach, 2nd ed. Routledge, 2020.

A. Fauzan, C. D. Andita, G. Rada, A. Zafirah, and A. H. Bin Abdullah, “Developing RME-Based Learning Trajectory for Teaching Addition to A Dyscalculia Student in Elementary School,” J. Didakt. Mat., vol. 9, no. 1, pp. 39–58, 2022, doi: 10.24815/jdm.v9i1.25340.

E. J. Mutaqin, T. Herman, W. Wahyudin, and N. N. Muslihah, “Hypothetical Learning Trajectory in Place Value Concepts in Elementary School,” Mosharafa J. Pendidik. Mat., vol. 12, no. 1, pp. 125–134, 2023, doi: 10.31980/mosharafa.v12i1.1313.

M. Stephan and D. Akyuz, “Design-based research and HLT development for arithmetic,” ZDM Math. Educ., 2023.

M. A. Simon, R. Tzur, K. Heinz, and M. Kinzel, “Hypothetical learning trajectories in mathematics education,” Math. Educ. Res. J., vol. 32, no. 1, pp. 65–87, 2020.

D. W. Maulida, M. H. Mahmudah, and N. Nuryadin, “Problem-solving ability in realistic mathematics education based on hypothetical learning trajectory,” JP2M (Jurnal Pendidik. dan Pembelajaran Mat., 2025.

S. Leinwand, B. J. Dougherty, and K. B. Chval, “Mathematics instruction and tasks that matter,” Educ. Leadersh., vol. 79, no. 4, pp. 20–27, 2022, [Online]. Available: https://www.ascd.org/el/articles/mathematicsinstruction-and-tasks-that-matter

R. I. I. Putri, Zulkardi, and Y. Hartono, “Designing learning trajectories of place value using bundle context,” J. Math. Educ., vol. 11, no. 2, pp. 157–168, 2020, doi: 10.22342/jme.11.2.11753.157-168.

K. and C. Gravemeijer P., “Design research from a learning design perspective BT - Educational design research,” Routledge, 2006, pp. 17–51.

N. F. and S. Fuadiah D., “Hypothetical learning trajectory pada pembelajaran bilangan negatif berdasarkan teori situasi didaktis di sekolah menengah,” Mosharafa J. Pendidik. Mat., vol. 6, no. 1, pp. 77–88, 2017, [Online]. Available: https://journal.institutpendidikan.ac.id/index.php/mosharafa/article/view/425

I. Fauzi, “Desain didaktis operasi hitung penjumlahan dan pengurangan pecahan di kelas 5 sekolah dasar,” 2020, Repository Universitas Pendidikan Indonesia. [Online]. Available: https://repository.upi.edu/50067

M. B. and H. Miles A. M. and Saldaña, J., Qualitative Data Analysis: A Methods Sourcebook, 3rd ed. SAGE Publications, 2014.

E. and H. Zuliana N. A. and Aji, N. P., “Pendekatan PMRI berbantuan House Counting untuk operasi hitung penjumlahan dan pengurangan pada bilangan cacah kelas II,” Inspiramatika, vol. 17, no. 1, pp. 33–45, 2025, [Online]. Available: https://e-jurnal.unisda.ac.id/index.php/Inspiramatika/article/view/8644

M. Q. Patton, Qualitative Research and Evaluation Methods, 3rd ed. Thousand Oaks, CA: Sage Publications, 2002.

Posted

2026-02-23