Computational Thinking : Vocational Students Abstraction in Solve the Geometric Pattern Problem

Swasti Maharani, Annisa Nurhidayati Mu'arif, Tri Andari

Abstract


The aim of this research is to explore the students' abstraction in solving geometric pattern problems based on gender. The subjects are 31 students in Grade X Multimedia, consisting of 12 male students and 19 female students. This research is qualitative descriptive research. Geometric pattern problems and interview guides are the instruments in this research. The results show that female students can master the concept of geometric patterns to solve the problem easily. Beside, they use the knowledge to represent the object and write the general term well. For male students are still not able to master the concept.  In the several stages, they still using the manual way to solve the problem and still not able to represent the object well. In the problem-solving stage, they still do mistakes. A recommendation for future study is to explore further about students' abstraction in other mathematics problems.

Keywords


Abstraction; Computational thinking;Geometric Pattern

Full Text:

PDF

References


Adelia, Susanti, E., Sari, & Simarmata, R. (2020). Abstraction Ability in Number Patterns Problem. National Conference on Mathematics Education (NaCoMe).

Aseeri, M. M. (2020). Abstract Thinking of Practicum Student at Najran University in Light of Piaget Theory and Its Relation to Their Academic Level. Journal of Curriculum and Teaching, 63-72.

Fauzan, A., & Diana, F. (2020). Learning Trajectory for Teaching Number Patteen Using RME Approach in Junior High Schools. Journal of Physics: Conference Series, 1-8.

Hamidreza, K., Alias, N. A., Kahar, M. F., Buhari, O., & Zakaria, S. (2015). Visualisasi dalam Penelitian Meta-analisis Pemecahan Masalah Matematika. E-Prosiding Konferensi Internasional tentang Ilmu Sosial Penelitian (pp. 803-812). http://WorldConferences.net.

Hardani, Andriani, H., Ustiawaty, J., Utami, E. F., Istiqomah, R. R., Fardani, R. A., . . . Auliya, N. H. (2020). Metode Penelitian Kualitatif & Kuantitatif. Yogyakarta: Penerbit Pustaka Ilmu.

Khotimah, H. (2013). Meningkatkan Hasil Belajar Geometri dengan Teori Van Hiele. Prosiding Seminar Nasional Matematika dan Pendidikan Matematika.

Maharani, S., Agustina, Z. F., & Kholid, M. N. (2021). Exploring the Prospective Mathematics Teachers Computational Thinking in Solving Pattern Geometry Problem. Jurnal Pendidikan, 1757-1767.

Nihayah, A. D. (2021). Analisis Kemampuan Berpikir Abstrak Siswa SMA dalam Materi Geometri. MAJU, 299-303.

Nurhikmayati, I. (2017). Kesulitan Siswa Berpikir Abstrak Matematika dalam Pembelajaran Problem Posing Berkelompok. KALAMATIKA , 159-176.

Nurrahmah, A., Rochmad, & Isnarto. (2021). Kemampuan Berpikir Abstraksi Matematis Mahasiswa pada Matakuliah Statistika Matematika ditinjau dari Gaya Belajar. PRISMA, Prosiding Seminar Nasional Matematika, 67-74.

Patilima. (2004). Metode Penelitian Kualitatif. Bandung: Alfabeta.

S, A. E., & Mandasari, N. (2018). Analisis Proses Abstraksi Matematika Siswa Dalam Memahami Konsep dan Prinsip Geometri Ditinjau Dari Teori Van Hiele. Judika Education, 61-70.

Santrock, J. (2007). Child Development. McGraw Hill Companies.

Soedjadi. (2000). Kiat Pendidikan Di Indonesia. Jakarta: Dekdikbud.

Umbara, U. (2017). Psikologi Pembelajaran Matematika. Yogyakarta: Deepublish.

Wahyuni, S. E., Sudarisman, S., & Karyanto, P. (2013). Pembelajaran Biologi Model POE Melalui Laboratorium Riil dan Laboratorium Virtuil Ditinjau dari Aktivitas Belajar dan Kemampuan Berpikir Abstrak. BIOEDUKASI, 63-78.

Yilmaz, R., & Argun, Z. (2018). Role of Visualization in Mathematical Abstraction: The Case of Congruence Concept. International Journal of Education in Mathematics, Science and Technology.

Fuady, A., Purwanto, P., Bambang, E., & Rahardjo, S. (2019). Abstraksi Reflektif Siswa Dalam Memecahkan Masalah Matematika Berdasarkan Gaya Kognitif. Seminar Nasional Pendidikan Matematika Ahmad Dahlan, 464–471.

Gadanidis, G. (2017). Five Affordances of Computational Thinking to support Elementary Mathematics Education. Jl. of Computers in Mathematics and Science Teaching, 36(2), 143–151.

Khine, M. S. (2018). Computational thinking in the stem disciplines: Foundations and research highlights. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, (August), 1–325. https://doi.org/10.1007/978-3-319-93566-9

Liu, J., & Wang, L. (2010). RETRACTED ARTICLE: Computational thinking in discrete mathematics. 2nd International Workshop on Education Technology and Computer Science, ETCS 2010, 1(61572419), 413–416. https://doi.org/10.1109/ETCS.2010.200

Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, A. (2019). How the students computational thinking ability on algebraic? International Journal of Scientific and Technology Research, 8(9).

Maharani, Swasti, Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019a). Problem Solving in the Context of Computational Thinking. Infinity Journal of Mathematics Education, 8(2), 109–116.

Maharani, Swasti, Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019b). Problem Solving in the Context of Computational Thinking. Infinity Journal of Mathematics Education, 8(2), 109–116.

Masfingatin, T., & Maharani, S. (2019). Computational thinking: Students on proving geometry theorem. International Journal of Recent Technology and Engineering, 8(9).

Masfingatin, Titin, & Maharani, S. (2019). Computational Thinking : Students On Proving Geometry Theorem. International Journal of Scientific & Technology Research, 8(09), 2216–2223.

Mgova, Z. (2018). Computational Thinking Skills in Education Curriculum. Retrieved from http://epublications.uef.fi/pub/urn_nbn_fi_uef-20180343/urn_nbn_fi_uef-20180343.pdf

Mitchelmore, M., & White, P. (2007). Abstraction in Mathematics Learning The foundational work on hierarchical abstraction theory was done by the late. Mathematics Education Research Journal, 19(2), 1–9.

Rambally, G. (2017). Integrating Computational Thinking in Discrete Structures. In Emerging Research, Practice, and Policy on Computational Thinking, Educational Communications and Technology: Issues and Innovations (pp. 99–119). Springer International Publishing. https://doi.org/10.1007/978-3-319-52691-1

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118




DOI: https://doi.org/10.35445/alishlah.v15i4.2478

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Annisa Nurhidayati Mu'arif, Swasti Maharani, Tri Andari

Al-Ishlah Jurnal Pendidikan Abstracted/Indexed by:

    

 


 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.