Building mathematical models in higher education: a case study of the Retirement Savings System
Abstract
This article presents the results of a qualitative case study aimed at analyzing how the evolution of knowledge about the Retirement Savings System (SAR) influenced the construction and development of mathematical models, as well as the use of technological tools, by a student in the Economics and Finance undergraduate program. The problem situation addressed was real and related to mathematical concepts associated with compound interest. The study was framed within the models and modeling perspective. The results show that the student’s initial knowledge of the SAR influenced the design of a first model with elements of simple interest. As the student deepened his understanding of the SAR, his mathematical model evolved, showing improved use of a spreadsheet in a second model, although still with limited ideas associated with simple interest. In the third model, the student incorporated compound interest concepts, reflecting a higher level of conceptual understanding. This progression shows how understanding the professional context influenced decisions made during the modeling process and the use of technology, contributing to a deeper understanding of the SAR.
Downloads
References
Boaler, J. (2002, julio). Exploring the nature of mathematical activity: Using theory, research and ‘working hypothesis’ to broaden conceptions of mathematics knowing. Educational Studies in Mathematics, 51(1–3), 3–21. https://doi.org/10.1023/A:1022468022549
Cavalcante, A., Savard, A., & Polotskaia, E. (2024, 21 de marzo). Mathematical structures of simple and compound interest: An analysis of secondary teachers’ relational thinking. Educational Studies in Mathematics, 116(2), 215–235. https://doi.org/10.1007/s10649-024-10308-6
Creswell. J. W. & Creswell, J. D. (2017). Research design: Qualitative, Quantitative, and Mixed Methods Approaches. (4a ed.). Sage, Newbury Park.
Doerr, H. M. (2016). Designing sequences of model development tasks. En C. R. Hirsch & A. R. McDuffie (Eds.), Annual perspectives in mathematics education 2016: Mathematical modeling and modeling mathematics (pp. 197–205). National Council of Teachers of Mathematics.
English, L. D. (2021). Mathematical and interdisciplinary modeling in optimizing young children’s learning. En J. M. Suh, M. H. Wickstrom & L. D. English (Eds.), Exploring mathematical modeling with young learners. Early Mathematics Learning and Development. (pp. 3–23). Springer, Cham. https://doi.org/10.1007/978-3-030-63900-6_1
Garfunkel, S., & Montgomery, M. (Eds.). (2019). Guidelines for assessment and instruction in mathematical modeling education (2a ed.). SIAM. https://www.siam.org/Portals/0/Publications/Reports/GAIMME_2ED/GAIMME-2nd-ed-final-online-viewing-color.pdf
Greeno, J. G., Moore, J. L., & Smith, D. R. (1996). Transfer of situated learning. En D. K. Detterman & R. J. Sternberg (Eds.), Transfer and trial: Intelligence, cognition, and instruction (pp. 99–167). Ablex Publishing Corporation.
Guin, D., Ruthven, K., & Trouche, L. (2005). The didactical challenge of symbolic calculators: Turning a computational device into a mathematical instrument. Springer. https://link.springer.com/book/10.1007/b101602
Haspekian, M., & Kieran, C. (2023). Teachers’ challenges in integrating technology in mathematics teaching through the lens of the instrumental distance concept. En P. Drijvers, C. Csapodi, H. Palmér, K. Gosztonyi & E. Kónya (Eds.), Proceedings of the thirteenth Congress of the European Society for Research in Mathematics Education (CERME13) (pp. 2694–2701). ERME. https://hal.science/hal-04410780/document
Lesh, R. (2010). Tools, researchable issues and conjectures for investigating what it means to understand statistics (or other topics) meaningfully. Journal of Mathematical Modeling and Application, 1(2), 16–48. https://bit.ly/3OVZ4LN
Lesh, R. A., Hoover, M., Hole, B., Kelly, A., & Post, T. (2000). Principles for developing thought-revealing activities for students and teachers. En A. E. Kelly (Ed.), Handbook of research design in mathematics and science education (1a ed., pp. 591–646). Lawrence Erlbaum Associates. https://bit.ly/3qxHANq
Lesh, R. A., & Carmona, G. (2003). Piagetian conceptual systems and models for mathematizing everyday experiences. En R. A. Lesh & H. Doerr (Eds.), Beyond constructivism: A models and modeling perspective on mathematics problem solving, learning and teaching (1a ed., pp. 71–96). Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410607713
Lesh, R. A., & Doerr, H. M. (2003). Foundations of a models and modelling perspective on mathematics teaching, learning, and problem solving. En R. A. Lesh & H. Doerr (Eds.), Beyond constructivism: A. constructivism: A models and modeling perspective on mathematics problem solving, learning and teaching (1a ed., pp. 3–34). Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410607713
Lesh, R. A., Yoon, C., & Zawojewski, J. (2007). John Dewey revisited: Making mathematics practical versus making practice mathematical. En R. A. Lesh, E. Hamilton & J. Kaput (Eds.), Foundations for the future in mathematics education (pp. 315–348). Lawrence Erlbaum Associates.
Makar, K., Doerr, H. M., & delMas, R. (2020, febrero). Developing statistical modeling with paper helicopters. Mathematics Teacher: Learning and Teaching PK–12, 113(2), 147–151. https://doi.org/10.5951/MTLT.2019.0243
Niss, M., & Blum, W. (2020). The learning and teaching of mathematical modeling. Routledge. https://bit.ly/3OAmENU
Sevinc, S. (2022, 5 de noviembre). Toward a reconceptualization of model development from models-and-modeling perspective in mathematics
education. Educational Studies in Mathematics, 109, 611–638. https://doi.org/10.1007/s10649-021-10096-3
Sevinc, S., Lesh, R. A. (2022, 23 de agosto). Preservice mathematics teachers’ conceptions of mathematically rich and contextually realistic problems. Journal of Mathematics Teacher Education, 25, 667–695. https://doi.org/10.1007/s10857-021-09512-5
Stake, R. E. (1995). The art of case study research. Sage.
Stillman, G. A., Kaiser, G., Blum, W. & Brown, J. P. (Eds.). (2013). Teaching mathematical modelling: Connecting to research and practice. Springer. https://doi.org/10.1007/978-94-007-6540-5
Summers, J. J., Gorin, J. S., Beretvas, S. N., & Svinicki, M. D. (2005, 7 de agosto). Evaluating collaborative learning and community. The Journal of Experimental Education, 73(3), 165–188. https://doi.org/10.3200/JEXE.73.3.165-188
Svoboda, J., & Passmore, C. (2013, 2 de diciembre). The strategies of modeling in biology education. Science & Education, 22, 119–142. https://doi.org/10.1007/s11191-011-9425-5
Vargas-Alejo, V., Reyes-Rodríguez, A., V. & Cristóbal-Escalante, C. (2016, agosto). Ciclos de entendimiento de los conceptos de función y variación. Educación Matemática, 28(2), 59–83. https://doi.org/10.24844/em2802.03
Vargas-Alejo, V., & Montero-Moguel, L. E. (2023). Recomendaciones para promover la modelación en el aula: cerrando la brecha entre investigación y práctica. En A. Castañeda, (Ed.), Aportes y recursos para la innovación en la educación matemática (pp. 69–96). Editorial SOMIDEM.
https://doi.org/10.24844/SOMIDEM/S1/2023/01-03

This work is licensed under a Creative Commons Attribution 4.0 International License.
In order to promote the development and dissemination of research in education in Latin America, the Ibero-American Journal for Educational Research and Development (RIDE) adhered to the Budapest Open Access Initiative, which is why it is identified as a Open access publication. This means that any user can read the complete text of the articles, print them, download them, copy them, link them, distribute them and use the contents for other purposes. Creative Cummons licenses allow users to specify the rights to use an open access journal available on the Internet in such a way that users know the rules of publication. Authors who publish in this journal accept the following conditions: Authors they keep the author's rights and give the magazine the right of the first publication, with the work registered with the attribution license of Creative Commons, which allows third parties to use the published material whenever they mention the authorship of the work and the first publication in this The authors can make other independent and additional contractual agreements for the non-exclusive distribution of the version of the article published in this journal (eg, include it in an institutional repository or publish it in a book) as long as they clearly indicate that The work was published for the first time in this magazine. Authors are allowed and recommended to publish their work. low on the Internet (for example on institutional or personal pages) before and during the review and publication process, as it can lead to productive exchanges and to a greater and faster dissemination of the published work
