Desain Lintasan Belajar Konsep Fungsi Linear Berbasis PjBL untuk Membangun Kemampuan Berpikir Komputasional Peserta Didik Jenjang SMP
DOI:
https://doi.org/10.21009/jrpms.101.07Kata Kunci:
Lintasan belajar, berpikir komputasional, fungsi linear , pembelajaran proyekAbstrak
Pembelajaran fungsi linear selama ini cenderung berfokus pada pencapaian konsep matematis tanpa mengintegrasikan kemampuan berpikir komputasional (Computational Thinking/CT). Padahal, CT dapat dikembangkan seiring dengan pembelajaran materi tersebut. Pembelajaran berbasis proyek (PjBL) diketahui efektif dalam membangun kemampuan CT, namun penerapannya dalam konteks fungsi linear masih terbatas. Hingga kini, belum ada lintasan belajar yang secara spesifik dirancang untuk mengembangkan kemampuan CT dalam materi fungsi linear. Penelitian ini bertujuan merancang lintasan belajar yang valid pada materi fungsi linear berbasis PjBL untuk membangun kemampuan CT peserta didik. Kemampuan CT yang dikembangkan meliputi dekomposisi, berpikir algoritmik, generalisasi, dan abstraksi. Metode penelitian ini adalah design research dengan tiga tahapan yaitu: 1) Preliminary Design (observasi, wawancara, dan kajian literatur), 2) Teaching Experiment (implementasi HLB), dan 3) Retrospective Analysis (evaluasi dan perbaikan HLB). Subjek penelitian ini adalah 36 peserta didik kelas VIII SMP 275 Jakarta. Validasi lintasan belajar dilakukan melalui expert review dan validasi empiris pada tahap teaching experiment. Temuan penelitian menunjukkan lintasan belajar yang dikembangkan dapat memfasilitasi peserta didik dalam mengembangkan kemampuan CT secara bertahap melalui aktivitas kontekstual berbasis proyek. Lintasan ini tervalidasi secara teoritis dan empiris serta dapat dijadikan hipotesis lintasan belajar yang menjadi rujukan dalam pengembangan pembelajaran fungsi linear berbasis projek di kelas matematika tingkat SMP.
Referensi
Ana, A. J., Suarti, S., Rasyid, R., & Mariani, S. (2022). The effect of the contextual teaching and learning (CTL) learning model based on simulation media on the motivation and learning outcomes of students in physics learning. Journal of Teaching and Learning Physics, 7(2), 88–96. https://doi.org/10.15575/jotalp.v7i2.17116
Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K–6 computational thinking curriculum framework: Implications for teacher knowledge. Educational Technology & Society, 19(3), 47–57.
Anistyasari, Y., Ekohariadi, E., & Munoto, M. (2020). Strategi pembelajaran untuk meningkatkan keterampilan pemrograman dan berpikir komputasi: Sebuah studi literatur. Journal of Vocational and Technical Education (JVTE), 2(2), 37–44. https://doi.org/10.26740/jvte.v2n2.p37-44
Arcavi, A. (1994). Symbol sense: Informal sense-making. For the Learning of Mathematics, 14(3), 24–35.
Barcelos, T. S., Munoz, R., Villarroel, R., Merino, E., & Silveira, I. F. (2018). Mathematics learning through computational thinking activities: A systematic literature review. Journal of Universal Computer Science, 24(7), 815–845.
Chiang, C. L., & Lee, H. (2016). The Effect of Project-Based Learning on Learning Motivation and Problem-Solving Ability of VAna, A. J., Suarti, S., Rasyid, R., & Mariani, S. (2022). The effect of the contextual teaching and learning (CTL) learning model based on simulation media on the motivation and learning outcomes of students in physics learning. Journal of Teaching and Learning Physics, 7(2), 88–96. https://doi.org/10.15575/jotalp.v7i2.17116
Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K–6 computational thinking curriculum framework: Implications for teacher knowledge. Educational Technology & Society, 19(3), 47–57.
Anistyasari, Y., Ekohariadi, E., & Munoto, M. (2020). Strategi pembelajaran untuk meningkatkan keterampilan pemrograman dan berpikir komputasi: Sebuah studi literatur. Journal of Vocational and Technical Education (JVTE), 2(2), 37–44. https://doi.org/10.26740/jvte.v2n2.p37-44
Arcavi, A. (1994). Symbol sense: Informal sense-making. For the Learning of Mathematics, 14(3), 24–35.
Barcelos, T. S., Munoz, R., Villarroel, R., Merino, E., & Silveira, I. F. (2018). Mathematics learning through computational thinking activities: A systematic literature review. Journal of Universal Computer Science, 24(7), 815–845.
Chiang, C. L., & Lee, H. (2016). The effect of project-based learning on learning motivation and problem-solving ability of vocational high school students. International Journal of Information and Education Technology, 6(9), 709–712. https://doi.org/10.7763/ijiet.2016.v6.779
Cho, Y., & Lee, Y. (2017). Possibility of improving computational thinking through activity-based learning strategy for young children. Journal of Theoretical and Applied Information Technology, 95(18), 4385–4393.
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking: A guide for teachers. Computing At School.
Cui, Z., Ng, O., & Jong, M. (2023). Integration of computational thinking with mathematical problem-based learning: Insights on affordances for learning. Educational Technology & Society, 26(April). https://doi.org/10.30191/ETS.202304
Educational Technology Division. (2006). Project-based learning handbook: Educating the millennial learner. Ministry of Education Malaysia.
Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. van den Akker et al. (Eds.), Educational design research (pp. 17–51). Routledge. https://doi.org/10.4324/9780203088364-12
Harahap, K., Sinaga, B., & Nasution, H. (2023). Development of problem-based learning model learning devices to improve students’ mathematical computational thinking ability. In Proceedings of the 8th Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL 2023). https://doi.org/10.4108/eai.19-9-2023.2340484
Heryanto, Sembiring, S. B. S., & Togatorop, J. B. T. (2022). Analisis faktor penyebab kesulitan belajar matematika siswa kelas V sekolah dasar. Curere, 6(1), 45–54.
Inayah, S., Jupri, A., Darhim, D., & Prabawanto, S. (2024). Exploring students learning difficulties in linear function: A diagnosis of grade 9. JTAM (Jurnal Teori dan Aplikasi Matematika), 8(1), 84. https://doi.org/10.31764/jtam.v8i1.17259
Karo, J. T. K. (2022). Analisis kesulitan siswa kelas XI SMK dalam menyelesaikan masalah program linear menggunakan blended learning. Conference of Elementary Studies, 20, 197–218.
Maharani, S., Nusantara, T., Asari, A. R., & Qohar, A. (2020). Computational thinking (Pemecahan masalah di abad ke-21). WADE Group.
N. Christi, S. R., & Rajiman, W. (2023). Pentingnya berpikir komputasional dalam pembelajaran matematika. Journal on Education, 5(4), 12590–12598. https://doi.org/10.31004/joe.v5i4.2246
Narulita, D., & Masduki. (2016). Kesulitan siswa dalam menyelesaikan masalah fungsi. Konferensi Nasional Penelitian Matematika dan Pembelajarannya (KNPMP I), 12, 164–171.
Nihayah, E. F. K. (2021). The management analysis of pre-requirements of algebra in linear. Linear: Jurnal Ilmu Pendidikan, 5(1), 26–39.
Prahmana, R. C. I. (2017). Design research: Teori dan implementasinya—Suatu pengantar. Rajawali Pers.
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
Supiarmo, M. G., Hadi, H. S., & Tarmuzi, T. (2022). Student’s computational thinking process in solving PISA questions in terms of problem-solving abilities. Journal of Innovative Mathematics Learning, 5(1), 01–11. https://doi.org/10.22460/jiml.v5i1.p01-11
Usiskin, Z. (1982). Van Hiele levels and achievement in secondary school geometry. University of Chicago.
Wing, J. (2014). Computational thinking benefits society. Journal of Computing Sciences in Colleges, 24(6), 6–7.
Yanuarti, M., Asmarawati, E., & Putra, A. (2023). Pelatihan pembuatan grafik fungsi linear dan nonlinear dengan Mathway pada siswa SMK PGRI 39 Jakarta. Jurnal Pengabdian Kepada Masyarakat: Kreasi Mahasiswa Manajemen, 3(4), 318. https://doi.org/10.32493/kmm.v3i4.36563
ocational High School Students. International Journal of Information and Education Technology, 6(9), 709–712. https://doi.org/10.7763/ijiet.2016.v6.779
Cho, Y., & Lee, Y. (2017). Possibility of improving computational thinking through activity based learning strategy for young children. Journal of Theoretical and Applied Information Technology, 95(18), 4385–4393.
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking: A guide for teachers. Computing At School.
Csizmadia, A., Curzon, P., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational Thinking: A guide for teachers.
Cui, Z., Ng, O., & Jong, M. (2023). Integration of Computational Thinking with Mathematical Problem-based Learning : Insights on Affordances for Learning. International Forum of Educational Technology & Society, 26(April). https://doi.org/10.30191/ETS.202304
Educational Technology Division. (2006). Project-based learning handbook: Educating the millennial learner. Ministry of Education Malaysia.
Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. van den Akker et al. (Eds.), Educational design research (pp. 17–51). Routledge. https://doi.org/10.4324/9780203088364-12
Harahap, K., Sinaga, B., & Nasution, H. (2023). Development of problem-based learning model learning devices to improve students’ mathematical computational thinking ability. In Proceedings of the 8th Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL 2023). https://doi.org/10.4108/eai.19-9-2023.2340484
Heryanto, Sembiring, S. B. S., & Togatorop, J. B. T. (2022). Analisis Faktor Penyebab Kesulitan Belajar Matematika Siswa Kelas V Sekolah Dasar. Curere, 6(1), 45–54.
Inayah, S., Jupri, A., Darhim, D., & Prabawanto, S. (2024). Exploring Students Learning Difficulties in Linear Function: A Diagnosis of Grade 9. JTAM (Jurnal Teori Dan Aplikasi Matematika), 8(1), 84. https://doi.org/10.31764/jtam.v8i1.17259
Karo, J. T. K. (2022). Analisis Kesulitan Siswa Kelas Xi Smk Dalam Menyelesaikan Masalah Program Linear Menggunakan Blended Learning. Conference of Elementary Studies, 20, 197–218.
Maharani, S., Nusantara, T., Asari, A. R., & Qohar, A. (2020). Computational thinking (pemecahan masalah di abad ke-21). WADE Group.
N. Christi, S. R., & Rajiman, W. (2023). Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika. Journal on Education, 5(4), 12590–12598. https://doi.org/10.31004/joe.v5i4.2246
Narulita, D., & Masduki. (2016). Kesulitan Siswa dalam Menyelesaikan Masalah Fungsi. Konferensi Nasional Penelitian Matematika Dan Pembelajarannya (KNPMP I), 12(Knpmp I), 164–171. https://publikasiilmiah.ums.ac.id/bitstream/handle/11617/6955/17_154_Makalah Rev Della Narulita.pdf?sequence=1
Nihayah, E. F. K. (2021). the Management Analysis of Pre-Requirements of Algebra in. Linear: Jurnal Ilmu Pendidikan, 5(1), 26–39.
Panjaitan, R. L., & Irawati, R. (2018). Analisis Kesalahan Penyelesaian Soal Konversi Satuan Pada Mahasiswa Pendidikan Guru Sekolah Dasar Dengan Newman’S Error Analysis. Seminar Nasional Fisika, 2018, November, SNF2018-PE-23-SNF2018-PE-28. https://doi.org/10.21009/03.snf2018.01.pe.04
Pfister, M., Moser Opitz, E., & Pauli, C. (2015). Scaffolding for mathematics teaching in inclusive primary classrooms: a video study. ZDM - The International Journal on Mathematics Education, 47(7), 1079–1092. https://doi.org/10.1007/s11858-015-0713-4
Prahmana, R. C. I. (2017). Design research: Teori dan Implementasinya—Suatu pengantar. Rajawali Pers.
Rahmawati, D., Darmawijoyo, D., & Hapizah, H. (2018). Desain Pembelajaran Materi Fungsi Linier Menggunakan Pemodelan Matematika. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 7(1), 65. https://doi.org/10.24127/ajpm.v7i1.1311
Selby, C., & Woollard, J. (2013). Computational Thinking : The Developing Definition. ITiCSE Conference 2013, 5–8.
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22(September), 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
Sudaryanto, B. (2016). Pengaruh Pembelajaran Kontekstual dan Motivasi Siswa Terhadap Hasil Belajar Siswa. November, 137–144.
Supiarmo, M. G., Hadi, H. S., & Tarmuzi, T. (2022). Student’s Computational Thinking Process in Solving PISA Questions in Terms of Problem Solving Abilities. Journal of Innovative Mathematics Learning, 5(1), 01–11. https://doi.org/10.22460/jiml.v5i1.p01-11
Usiskin, Z. (1982). Van Hiele levels and achievement in secondary school geometry. University of Chicago.
Wing, J. (2014). Computational thinking benefits society. Journal of Computing Sciences in Colleges, 24(6), 6–7.
Yanuarti, M., Asmarawati, E., & Putra, A. (2023). Pelatihan Pembuatan Grafik Fungsi Linear dan Nonlinear dengan Mathway Pada Siswa SMK PGRI 39 Jakarta. Jurnal Pengabdian Kepada Masyarakat : Kreasi Mahasiswa Manajemen, 3(4), 318. https://doi.org/10.32493/kmm.v3i4.36563
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