ANALISIS KEMAMPUAN BERPIKIR KOMPUTASI SISWA KELAS V SEKOLAH DASAR DITINJAU DARI KECEMASAN MATEMATIKA
Keywords:
Kemampuan berpikir komputasi, kecemasan matematikaAbstract
Berpikir komputasi merupakan suatu kemampuan berpikir inovatif dalam mengidentifikasi fenomena kehidupan untuk memberikan berbagai solusi praktis dari masalah yang dikaji. Penelitian yang telah dilakukan bertujuan untuk menganalisis kemampuan berpikir komputasi siswa yang ditinjau dari tinggi dan rendahnya kecemasan matematika. Dalam penelitian ini, metode yang digunakan yaitu studi kasus dengan jenis deskriptif kualitatif. Subyek penelitian dipilih menggunakan teknik purposive sampling berdasarkan hasil angket kecemasan matematika, diambil kelompok dengan kategori kecemasan matematika rendah, sedang, dan tinggi. Subyek penelitian meliputi 6 orang siswa kelas V dengan masing-masing kategori diwakilkan oleh 2 subjek. Instrumen yang digunakan yaitu angket dan tes sedangkan teknik dalam pengumpulan data yaitu angket, tes, wawancara, dan dokumentasi. Hasil yang telah didapatkan dalam penelitian yaitu subjek dengan kategori kecemasan matematika tinggi tidak memenuhi indikator sama sekali, subjek dengan kategori kecemasan matematika sedang hanya memenuhi dua indikator berpikir komputasi yaitu dekomposisi dan pengenalan pola, sedangkan subjek dengan kategori kecemasan matematika rendah dapat memenuhi semua indikator yang ada.
References
Ashcraft, M., & Krause, J. (2007). What is a question? Crowdsourcing tweet categorization. Psychonomic Bulleting & Review, 14(2), 243–248.
Cates, G. L., & Rhymer, K. N. (2003). Examining the Relationship Between Mathematics Anxiety and Mathematics Performance: An Instructional Hierarchy Perspective. Journal of Behavioral Education, 12(1), 23–34.
Curzon, P., Dorling, M., Ng, T., Selby, C., & Woollard, J. (2014). Developing computational thinking in the classroom: a framework. Computing at School, June, 1–6.
del Olmo-Muñoz, J., Cózar-Gutiérrez, R., & González-Calero, J. A. (2020). Computational thinking through unplugged activities in early years of Primary Education. Computers and Education, 150(January). https://doi.org/10.1016/j.compedu.2020.103832
Fajri, M., Yurniawati, & Utomo, E. (2019). Computational Thinking, Mathematical Thinking Berorientasi Gaya Kognitif Pada Pembelajaran Matematika Di Sekolah Dasar. Dinamika Sekolah Dasar, 1(1), 1–18.
Hamdi, S., Suganda, I. A., & Hayati, N. (2018). Developing higher-order thinking skill (HOTS) test instrument using Lombok local cultures as contexts for junior secondary school mathematics. Research and Evaluation in Education, 4(2), 126–135. https://doi.org/10.21831/reid.v4i2.22089
Jiang, B., & Li, Z. (2021). Effect of Scratch on computational thinking skills of Chinese primary school students. Journal of Computers in Education, 8(4), 505–525. https://doi.org/10.1007/s40692-021-00190-z
Macher, D., Paechter, M., Papousek, I., & Ruggeri, K. (2012). Statistics anxiety, trait anxiety, learning behavior, and academic performance. European Journal of Psychology of Education, 27(4), 483–498. https://doi.org/10.1007/s10212-011-0090-5
Malik, S., Prabawa, H. W., & Rusnayati, H. (2019). Peningkatan Kemampuan Berpikir Komputasi Siswa melalui Multimedia Interaktif Berbasis Model Quantum Teaching and Learning. International Journal of Computer Science Education in Schools, 8(November), 41. https://doi.org/10.13140/RG.2.2.34438.83526
Mohaghegh, M., & Mccauley, M. (2016). Computational Thinking: The Skill Set of the 21st Century. International Journal of Computer Science and Information Technologies, 7(3), 1524–1530.
Monalisa, M. (2023). Analisis Berpikir Komputasional Siswa SMP pada Kurikulum Merdeka Mata Pelajaran Informatika. DIAJAR: Jurnal Pendidikan Dan Pembelajaran, 2(3), 298–304. https://doi.org/10.54259/diajar.v2i3.1596
Mutlu, Y. (2019). Math anxiety in students with and without math learning difficulties. International Electronic Journal of Elementary Education, 11(5), 471–475. https://doi.org/10.26822/iejee.2019553343
Palts, T., & Pedaste, M. (2020). A model for developing computational thinking skills. Informatics in Education, 19(1), 113–128. https://doi.org/10.15388/INFEDU.2020.06
Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018). Math Anxiety: Past Research, Promising Interventions, and a New Interpretation Framework. Educational Psychologist, 53(3), 145–164. https://doi.org/10.1080/00461520.2018.1447384
Sheffield, D., & Hunt, T. (2016). How Does Anxiety Influence Maths Performance and What Can We do About It? MSOR Connections, 6(4), 19–23. https://doi.org/10.11120/msor.2006.06040019
Szczygieł, M., & Pieronkiewicz, B. (2022a). Exploring the nature of math anxiety in young children: Intensity, prevalence, reasons. In Mathematical Thinking and Learning (Vol. 24, Issue 3, pp. 248–266). https://doi.org/10.1080/10986065.2021.1882363
Szczygieł, M., & Pieronkiewicz, B. (2022b). Exploring the nature of math anxiety in young children: Intensity, prevalence, reasons. In Mathematical Thinking and Learning (Vol. 24, Issue 3, pp. 248–266). https://doi.org/10.1080/10986065.2021.1882363
Turgut, S., & Turgut, İ. G. (2020). Me while i am learning mathematics: Reflections to elementary school students’ drawings. International Electronic Journal of Elementary Education, 13(1), 139–154. https://doi.org/10.26822/iejee.2020.179
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
