Development of Mathematical Maturity through the Amalgamation of Computational Thinking and Technology-Enhanced Learning

Harsa Wara Prabawa, Rizky Rosjanuardi, Elah Nurlaelah

Abstract


Advancements in technology and global information infrastructure have transformed education, leveraging a constructivist approach that enhances knowledge construction through student interaction with computer applications. The research aimed to explore the facilitation of enhancing mathematical maturity through the integration of technology in mathematics education using computational thinking. This research employed a qualitative method with a case study approach. The participants in this study were 15 Grade XI students from various classes of the Vocational High School, selected from a total of 159 students. The data collection techniques used in this research included observation and open-ended test instruments. The data analysis techniques involved data reduction, data presentation, and conclusion drawing. The research results show: (1) technology enhances mathematics education; (2) computers deepen mathematical understanding; (3) technology creates contextual learning environments for problem-solving; (4) combining computational thinking and technology aids in mastering mathematical concepts. The conclusion is that integrating computational thinking with technology-enhanced learning significantly fosters mathematical maturity among students.

Keywords


Thinking; Technology-Enhanced Learning; Mathematical Maturity; Cockroff’s Model.

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References


Acharya, B. R., Belbase, S., Panthi, R. K., Khanal, B., Kshetree, M. P., & Dawadi, S. D. (2022). Critical Conscience for Construction of Knowledge in Mathematics Education. International Journal of Education in Mathematics, Science and Technology (IJEMST), 10(4), 1030-1056. doi: https://doi.org/10.46328/ijemst.2203

Albirini, A. (2007). The Crisis of Educational Technology, and the Prospect of Reinventing Education. Educational Technology & Society, 10(2), 227-236. https://www.jstor.org/stable/jeductechsoci.10.1.227

Arnon, I., Cottrill, J., Dubinsky, E., Oktac, A., Fuentes, S. R., Trigueros, M., & Weller, K. (2014). APOS Theory - A Framework for Research and Curriculum Development in Mathematics Education. New York: Springer. https://link.springer.com/book/10.1007/978-1-4614-7966-6

Barcelos, T. S., Munoz, R., Villarroel, R., & Silveira, I. F. (2018). A Systematic Literature Review on Relationships Between Computational Thinking and Mathematics. International Journal on Computational Thinking, 2(1), 23-35. doi:https://doi.org/10.14210/jcthink.v2.n1.p23

Campbell, D. T., & Yin, R. K. (2018). Case Study Research and Applications : Design and Methods (6th ed.). London: SAGE Publications. https://uk.sagepub.com/en-gb/eur/case-study-research-and-applications/book250150

Chomal, V. S., & Saini, J. R. (2013). A Study and Analysis of Paradigm Shift in Education Triggered by Technology. International Journal of Research in Economics & Social Sciences, 3(1), 14-28. https://euroasiapub.org/a-study-and-analysis-of-paradigm-shifts-in-education-triggered-by-technology/

DeJarnette, A. F. (2019). Students’ Challenges with Symbols and Diagrams when Using a Programming Environment in Mathematics. Digital Experiences in Mathematics Education, 5(3), 36-58. doi:https://doi.org/10.1007/s40751-018-0044-5

diSessa, A. A. (2018). A Friendly Introduction to “Knowledge in Pieces”: Modeling Types of Knowledge and Their Roles in Learning. In book Invited Lectures from the 13th International Congress on Mathematical Education. New York: Springer. doi:https://doi.org/10.1007/978-3-319-72170-5_5

Duval, R. (2006). A Cognitive Analysis of Problems of Comprehension in a Learning of Mathematics. Educational Studies in Mathematics, 61(2), 103-131. doi: https://doi.org/10.1007/s10649-006-0400-z

Gustafsson, B. (2016). Swedish students in upper secondary school solving algebraic tasks – What obstacles can be observed? Matematik Didaktisk Forskning (MADIF) - The tenth research seminar of the Swedish Society for Research in Mathematics Education. Sweden: Swedish Society for Research in Mathematics Education. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1351570&dswid=-6486

Hong, J. Y., & Kim, M. K. (2016). Mathematical Abstraction in the Solving of Ill-StructuredProblems by Elementary School Students in Korea. Eurasia Journal of Mathematics, Science & Technology Education, 12(2), 267-281. doi: https://doi.org/10.12973/eurasia.2016.1204a

Inan, F. A., & Lowther, D. L. (2010). Factors Affecting Technology Integration in K-12 Classrooms: A Path Model. Educational Technology Research and Development, 58(2), 137-154. https://www.jstor.org/stable/40603153

Kitchen, R., & Berk, S. (2016). Educational Technology: An Equity Challenge to the Common Core. Journal for Research in Mathematics Education, 47(1), 3-16. https://www.jstor.org/stable/10.5951/jresematheduc.47.1.0003

Kramarski, B., & Michalsky, T. (2010). Preparing preservice teachers for self-regulated learning in the context of technological pedagogical content knowledge. Learning and Instruction, 20(5), 434-447. doi:https://doi.org/10.1016/j.learninstruc.2009.05.003

Laski, E. V., & Anna Ermakova, M. V. (2014). Early use of decomposition for addition and its relation tobase-10 knowledge. Journal of Applied Developmental Psychology, 35(5), 444-454. doi:https://doi.org/10.1016/j.appdev.2014.07.002

Lester, F. K., & Kehle, P. E. (2003). From Problem Solving to Modeling: The Evolution of Thinking about Reserach on Complex Mathematical Activity. In R. Lesh, & H. M. Doerr, Beyond Constructivism, Models and Modeling Perspectives on Mathematics Problem Solving, Learning, and Teaching. Mahwah: Lawrence Erlbaum Associates Inc. https://psycnet.apa.org/record/2003-00984-000

Lodi, M., & Martini, S. (2021). Computational thinking, between Papert and Wing. Science & Education, 30(1), 883-908. doi:https://doi.org/10.1007/s11191-021-00202-5

Miller, J. (2019). STEM education in the primary years to support mathematical thinking: using coding to identify mathematical structures and patterns. ZDM – Mathematics Education, 51(6), 915-927. doi:https://doi.org/10.1007/s11858-019-01096-y

Ng, O.-L., & Cui, Z. (2021). Examining primary students’ mathematical problem-solving in a programming context: towards computationally enhanced mathematics education. ZDM – Mathematics Education, 53(4), 847-860. doi:https://doi.org/10.1007/s11858-020-01200-7

Palatnik, A., & Koichu, B. (2018). Four-component decomposition of sense making in algebra. In T. Dooley, & G. Gueudet (Ed.). Dublin, Ireland: Institute of Education Dublin City University. https://hal.science/hal-01914672/

Papert, S. (2020). Mindstorms: Children, Computers, and Powerful Ideas. New York: Basic Books. https://worrydream.com/refs/Papert_1980_-_Mindstorms,_1st_ed.pdf

Pei, C., Weintrop, D., & Wilensky, U. (2018). Cultivating computational thinking practices and mathematical habits of mind in Lattice Land. Mathematical Thinking and Learning, 20(1), 75-89. doi:https://doi.org/10.1080/10986065.2018.1403543

Sadykova, O., & Il'bahtin, G. (2020). The Definition of Algorithmic Thinking. Advances in Economics, Business and Management Research, 113, 419-422. doi: 10.2991/fred-19.2020.85

Sangrà, A., & González-Sanmamed, M. (2010). The role of information and communication technologies in improving teaching and learning processes in primary and secondary schools. ALT-J, Research in Learning Technology, 18(3), 207-220. doi:https://doi.org/10.1080/09687769.2010.529108

Schwandt, T., & Gates, E. F. (2017). Case Study Methodology. The SAGE Handbook of Qualitative Research (5th ed.). United State of America: SAGE Publishing. https://journals.sagepub.com/doi/pdf/10.1177/16094069221145849

Seehorn, D., Carey, S., Fuschetto, B., Lee, I., Moix, D., O’Grady-Cunniff, D., . . . Verno, A. (2011). K–12 Computer Science Standards - The CSTA Standards Task Force. New York: Computer Science Teachers Association (CSTA) and the Association for Computing Machinery Inc. http://scratch.ttu.ee/failid/CSTA_K-12_CSS.pdf

So, H.-J., & Kim, B. (2009). Learning about problem based learning: Student teachers integrating technology, pedagogy and content knowledge. Australasian Journal of Education technology, 25(1), 101 - 116. doi:https://doi.org/10.14742/ajet.1183

Son, J.-B., Robb, T., & Charismiadji, I. (2011). Computer literacy and competency: a survey of Indonesian teachers of English as a foreign language. Computer-Assisted Language Learning Electronic Journal, 12(1), 26-42. http://callej.org/journal/12-1/Son_2011.pdf

Sztajn, P., Heck, D. J., Malzahn, K. A., & Dick, L. K. (2020). Decomposing practice in teacher professional development: Examining sequences of learning activities. Teaching and Teacher Education, 91, 1-10. doi:https://doi.org/10.1016/j.tate.2020.103039

Turmudi. (2008). Landasan Filsafat dan Teori Pembelajaran Matematika (Berparadigma Eksploratif dan Investigatif). Jakarta: PT Leuser Cita Pustaka. https://opac.uin-antasari.ac.id/index.php?p=show_detail&id=24559&keywords=

White, P., & Mitchelmore, M. C. (2010). Teaching for Abstraction: A Model. Mathematical Thinking and Learning, 12(3), 205-226. doi:https://10.1080/10986061003717476

Ye, H., Liang, B., Ng, O.-L., & Chai, C. S. (2023). Integration of computational thinking in K-12 mathematics education: A systematic review on CT-based mathematics instruction and student learning. International Journal of STEM Education, 10(3), 1-26. doi:https://doi.org/10.1186/s40594-023-00396-w




DOI: https://doi.org/10.31764/jtam.v8i3.23766

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