Pengaruh Kemampuan Matematika Terhadap Kemampuan Computational Thinking Pada Anak Usia Sekolah Dasar
DOI:
https://doi.org/10.29408/edc.v15i2.2916Keywords:
Mathematics ability, Computational thinking ability, Computational thinkingAbstract
Computational thinking ability need to be trained from an early age through the mathematics ability approach at the primary schools level. This study aims to analyze the effect of the analysis of mathematic ability to computational thinking abilities in primary schools age in sdn 2 sekarteja with 2 measurement variables including: computational thinking ability and math ability. This type of research is quantitative using descriptive methods. The population of this study was class V SDN 2 Sekarteja with a total of 30 students and the entire population becomes the sample, the type of research sample is saturated sample. Data collection techniques in this study used tests and documentation. The technique used to analyze the data was descriptive statistics. The results of this study indicated that, with n = 30 and a significant level of 5%, r table = 0.361, while the result rcount = 0.304. The results obtained were rcount ≤ rtabel, then Ha was rejected and Ho was accepted and the direction of the correlation was negative. It can be concluded that there was no significant relationship between the computational thinking abilities of elementary school age children in terms of mathematics abilities at SDN 2 Sekarteja
References
Arifin, Z. (2014). Penelitian Pendidikan Metode dan Paradigma Baru (A. Kamsyach (ed.)). PT Remaja Rosdakarya.
Barr, B. V.& Stephenson, C. (2011). Call It Problem Solving, Not Computational Thinking. ACM Inroads, 2(1), 48–54.
Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016). Developing Computational Thinking in Compulsory Education - Implications for policy and practice. In Joint Research Centre (JRC) (Issue June).
Hendriana, H. (2014). Membangun Kepercayaan Diri Siswa Melalui Pembelajaran Matematika Humanis. Jurnal Pengajaran Matematika Dan Ilmu Pengetahuan Alam, 19(1), 52.
Kurniawan, A. (2020). Pengertian Matematika Bidang, Logika, Karakteristik, Manfaat, Para Ahli. Guru Pendidikan.Com.
Ling, U. L., Saibin, T. C., Naharu, N., Labadin, J., & Aziz, N. A. (2018). An evaluation tool to measure computational thinking skills: pilot investigation. National Academy of Managerial Staff of Culture and Arts Herald, 1, 606-614
Maharani, S., Kholid, M. N., Nico Pradana, L., & Nusantara, T. (2019). Problem Solving in the Context of. 8(2), 109–116.
Moh, P., & Teguh, A. P. (2012). Strategi Pengelolaan SD/MI. UIN Maliki Press.
Nuriadin, I., & Perbowo, K. S. (2013). Analisis Korelasi Kemampuan Berpikir Kreatif Matematik Terhadap Hasil Belajar Matematika Peserta Didik Smp Negeri 3 Lurangung Kuningan Jawa Barat. Infinity Journal, 2(1), 65.
OECD. (2018). PISA 2021 mathematics framework (second draft)
Sabitzer, B., Demarle-Meusel, H., & Jarnig, M. (2018). Computational thinking through modeling in language lessons. IEEE Global Engineering Education Conference, EDUCON, 2018-April(2), 1913–1919.
Seow, P., Looi, C.-K., How, M.-L., Wadhwa, B., & Wu, L.-K. (2019). Educational Policy and Implementation of Computational Thinking and Programming: Case Study of Singapore. In S.-C. Kong & H.
Abelson (Eds.), Computational Thinking Education (pp. 345–361). Singapore: Springer Singapore.
So, H.-J., Jong, M. S.-Y., & Liu, C.-C. (2020). Computational Thinking Education in the Asian Pacific Region. The Asia-Pacific Education Researcher, 29(1), 1–8.
Trianingsih, R. (2018). Strategi Pengelolaan SD/MI. LPPM Institut Agama Islam Ibrahimy Genteng Banyuwangi.
Zahid, M. Z. (2020). Telaah kerangka kerja PISA 2021 : Era Integrasi Computational Thinking dalam Bidang Matematika. Prosiding Seminar Nasional Matematika, 3(2020), 706–713.
Wing, J. M. (2017). Computational thinking's influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7–14.