Computational Thinking Analysis of 21st Century Professional Teacher Candidates In Solving Math Problems Viewed from The Four Foundations of CT

Keywords: Computational Thinking, Foundations of CT, 21-st Century Professional Teachers

Abstract

Computational Thinking (CT) is a further development which is the latest innovation in mathematical problem-solving skills. Four foundations of CT make it easier for someone to solve problems effectively, efficiently, and optimally. This mixed methods research with an embedded design. Quantitative data were collected using tests and qualitative data through written interviews and an overview of the prospective teacher's thought processes in answering tests. The sample that became the research subject was selected using the purposive sampling method by selecting 28 pre-service teacher's mathematics in Professional Teacher Education (PTE) who attended CT lectures. The object of this research is the 4 CT foundations of prospective teachers in solving math problems. This study describes how CT skills solve problems. The test results show that the percentage of correct answers for each of the four CT foundations is more than 80%. It can be concluded that the knowledge and understanding of Computational Thinking for 21st-century professional teacher candidates in terms of 4 CT foundations are categorized as "very high". Based on the description of the student's answers, it was also concluded that the CT foundation is indeed the basis for thought processes in solving problems. It is the advantage of Computational Thinking.

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References

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.

Angraini, L. M., Arcat, A., & Sohibun, S. (2022). Pengaruh Bahan Ajar Berbasis Multimedia Interaktif terhadap Kemampuan Computational Thinking Matematis Mahasiswa. JNPM (Jurnal Nasional Pendidikan Matematika), 6(2), 370-383.

Anita, Y., Thahir, A., Komarudin, K., Suherman, S., & Rahmawati, N. D. (2021). Buku Saku Digital Berbasis STEM: Pengembangan Media Pembelajaran terhadap Kemampuan Pemecahan Masalah. Mosharafa: Jurnal Pendidikan Matematika, 10(3), 401–412.

Apriani, A., Ismarmiaty, I., Susilowati, D., Kartarina, K., & Suktiningsih, W. (2021). Penerapan Computational Thinking pada Pelajaran Matematika di Madratsah Ibtidaiyah Nurul Islam Sekarbela Mataram. ADMA : Jurnal Pengabdian Dan Pemberdayaan Masyarakat, 1(2), 47–56.

Ardianti, Y., & Amalia, N. (2022). Kurikulum Merdeka: Pemaknaan Merdeka dalam Perencanaan Pembelajaran di Sekolah Dasar. Jurnal Penelitian Dan Pengembangan Pendidikan, 6(3), 399–407.

Armiati, A., Anggraini, N., & Devi, S. (2018). Dampak Pembelajaran Berbasis Masalah terhadap Kemampuan Pemecahan Masalah, Koneksi Matematis dan Kecerdasan Emosional Siswa SMP. Jurnal Eksakta Pendidikan (JEP), 2(1), 64-70.

Ashel, H., & Riandi, R. (2022). Inovasi Metode Pembelajaran: Metode Eksperimen Bauran (Real-Virtual) Berbantuan Software Analisis Video. Jurnal Eksakta Pendidikan (JEP), 6(1), 11–19.

Astuti, A., Syahza, A., & Putra, Z. H. (2023). Penelitian Computational Thinking Dalam Pembelajaran Matematika. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(1), 363–384.

Augie, K. (2021). Penggunaan Podcast Untuk Mengembangkan Keterampilan Berpikir Komputasi Siswa selama Gangguan Pandemi. Didactical Mathematics, 3(1), 41–47.

Azhari, D. S., Afif, Z., Kustati, M., & Sepriyanti, N. (2023). Penelitian Mixed Method Research Untuk Disertasi. INNOVATIVE: Journal Of Social Science Research, 3(2), 8010–8025.

Aziz, S. Al. (2022). Analisis Keterampilan Berpikir Siswa Dalam Menyelesaikan Masalah Matematika Berbasiskan Langkah Pemecahan Masalah Menurut Polya. Euclid, 9(2), 110–129.

Belviyani, J., & Utami, L. (2017). Pengaruh Penerapan Pendidikan Karakter Melalui Strategi Inkuiri Terbimbing Pada Materi Larutan Elektrolit Dan Non Elektrolit. Jurnal Eksakta Pendidikan (JEP), 1(2), 88.

Bower, M., Wood, L. N., Lai, J. W. M., Howe, C., & Lister, R. (2017). Improving The Computational Thinking Pedagogical Capabilities Of School Teachers. Australian Journal of Teacher Education, 42(3), 53–72.

Budi, T., & Izzati, N. (2021). Analisis Tingkat Berpikir Kreatif Mahasiswa dalam Memecahkan Soal Matematika Ditinjau Dari Keaktifan Kelas Daring. Jurnal Eksakta Pendidikan (JEP), 5(2), 149–155.

Budiarti, H., Teguh Wibowo, & Puji Nugraheni. (2022). Analisis Berpikir Komputasional Siswa dalam Menyelesaikan Masalah Matematika. Jurnal Pendidikan MIPA, 12(4), 1102–1107.

Cahdriyana, R. A., & Richardo, R. (2020). Berpikir Komputasi Dalam Pembelajaran Matematika. LITERASI (Jurnal Ilmu Pendidikan), 11(1), 50-56.

Chahyadi, F., Bettiza, M., Ritha, N., Radzi Rathomi, M., & Hayaty, N. (2021). Peningkatan High Order Thinking Skill Siswa Melalui Pendampingan Computational Thinking. Jurnal Anugerah, 3(1), 25–36.

Cheng, Y. P., Lai, C. F., Chen, Y. T., Wang, W. S., Huang, Y. M., & Wu, T. T. (2023). Enhancing student’s computational thinking skills with student-generated questions strategy in a game-based learning platform. Computers and Education, 200(104794), 1–8.

Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Los Angeles: Sage publications.

Dong, W., Li, Y., Sun, L., & Liu, Y. (2023). Developing pre-service teachers’ computational thinking: a systematic literature review. International Journal of Technology and Design Education, 33(3), 1-37.

Fauji, T., Sampoerna, P. D., & Hakim, L. El. (2022). Penilaian Berpikir Komputasi Sebagai Kecakapan Baru dalam Literasi Matematik. Prosiding Seminar Nasional Fakultas Tarbiyah Dan Keguruan Universitas Negeri Alauddin Makasar, 2022, 498–514.

Fitriani, W., Suwarjo, S., & Wangid, M. N. (2021). Berpikir Kritis dan Komputasi: Analisis Kebutuhan Media Pembelajaran di Sekolah Dasar. Jurnal Pendidikan Sains Indonesia, 9(2), 234–242.

Fitriyah, C. Z., & Wardani, R. P. (2022). Paradigma Kurikulum Merdeka Bagi Guru Sekolah Dasar. Scholaria: Jurnal Pendidikan Dan Kebudayaan, 12(3), 236–243.

Helma, & Edizon. (2017). Faktor-Faktor Yang Mempengaruhi Hasil Belajar Matematika Siswa Untuk Penerapan Bahan Ajar Kontekstual Mengintegrasikan Pengetahuan Terkait Dan Realistik. Jurnal Eksakta Pendidikan (JEP), 1(1), 86-92.

Hizqiyah, I. Y. N., Widodo, A., & Sriyati, S. (2022). Pembelajaran Abad 21 dengan menggunakan Wikipedia sebagai Sumber Informasi untuk Meningkatkan Kemampuan Pemecahan Masalah. BIOSFER : Jurnal Biologi Dan Pendidikan Biologi, 7(1), 1-12.

Hsu, T. C., Chang, S. C., & Hung, Y. T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers and Education, 126, 296–310.

Indarta, Y., Jalinus, N., Waskito, W., Samala, A. D., Riyanda, A. R., & Adi, N. H. (2022). Relevansi Kurikulum Merdeka Belajar dengan Model Pembelajaran Abad 21 dalam Perkembangan Era Society 5.0. Edukatif : Jurnal Ilmu Pendidikan, 4(2), 3011–3024.

Julianti, N. H., Darmawan, P., & Mutimmah, D. (2022). Computational Thinking Dalam Memecahkan Masalah High Order Thinking Skill Siswa. Prosiding : Konferensi Nasional Matematika dan IPA Universitas PGRI Banyuwangi, 2(1), 1–7.

Kamil, M. R., Imami, A. I., & Abadi, A. P. (2021). Analisis Kemampuan Berpikir Komputasional Matematis Siswa Kelas Ix Smp Negeri 1 Cikampek Pada Materi Pola Bilangan. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(2), 259–270.

Kemendikbudristek. (2022). Keputusan Kepala BSKAP No. 008/H/KR/2022 Capaian Pembelajaran Pada Pendidikan Anak Usia Dini, Jenjang Pendidikan Dasar, Dan Jenjang Pendidikan Menengah Pada Kurikulum Merdeka. Jakarta: BSKAP.

Kenedi, A. K. (2018). Literasi Matematis Dalam Pembelajaran Berbasis Masalah. Prosiding Seminar Nasional Pendidikan Guru Sekolah Dasar, 1(1), 165-174.

Lestari, S., Roesdiana, L. (2023). Analisis Kemampuan Berpikir Komputasional Matematis Siswa Pada Materi Program Linear. Range: Jurnal Pendidikan Matematika, 4(2),178-188.

Maharani, A. (2020). Computational Thinking dalam Pembelajaran Matematika Menghadapi Era Society 5.0. Euclid, 7(2), 86-96.

Maharani, S., Nusantara, T., As’ari, A. R., & Qohar, A. (2021). Exploring the computational thinking of our pre-service mathematics teachers in prepare of lesson plan. Journal of Physics: Conference Series, 1783(1), 1-9.

Mustaqim. (2016). Metode Penelitian Gabungan Kuantitatif Kualitatif/Mixed Methods Suatu Pendekatan Alternatif. Jurnal Intelegensia, 4(1), 1,1-9.

Natali, Vania. (2022). Computational Thinking Mata Kuliah Pilihan Pendidikan Profesi Guru Pra-Jabatan Tahun 2022. Jakarta: Direktorat Pendidikan Profesi Guru.

Novita, R., & Hidayati, N. (2022). Analisis Kemampuan Berpikir Kritis Matematis Siswa SMK. Jurnal Theorems (The Original Reasearch of Mathematics), 7(1), 25-39.

Nuraeni, Z., & Rosyid, A. (2019). Pengaruh Model Pembelajaran Index Card Match (ICM) dengan Problem Posing Berbantuan Software MATLAB terhadap Kemampuan Pemecahan Masalah. Jurnal Elemen, 5(1), 12-22.

Olimpo, G. (2017). From Digital Computing To Computational Thinking. Italian Journal of Educational Technology, 25(2), 15–26.

Powers, Jillian; Musgrove, Ann; Brown, Victoria; and Azhar, Mohammad. (2020). Exploring the Development of Pre-Service Teachers' Knowledge and Attitudes Toward Integrating Computational Thinking and Robotics into the Classroom. FDLA Journal, 6(1), 1-11.

Rahayu, R., Rosita, R., Rahayuningsih, Y. S., Hernawan, A. H., & Prihantini, P. (2022). Implementasi Kurikulum Merdeka Belajar di Sekolah Penggerak. Jurnal Basicedu, 6(4), 6313–6319.

Shoddiq, S., Septiana, N., & Syar, N. I. (2022). Keterampilan Berpikir Kritis Siswa Melalui Penerapan Model Discovery Learning Pada Materi Alat Optik. Jurnal Eksakta Pendidikan (JEP), 6(2), 195–203.

Supiarmo, M. G., Turmudi, & Susanti, E. (2021). Proses Berpikir Komputasional Siswa Dalam Menyelesaikan Soal Pisa Konten Change And Relationship Berdasarkan Self-Regulated Learning. Numeracy, 8(1), 58–72.

Ung, L., Labadin, J., & Mohamad, F. S. (2022). Computational thinking for teachers: Development of a localised E-learning system. Computers and Education, 177(1), 1–7.

Utari, D. R., Wardana, M. Y. S., & Damayani, A. T. (2019). Analisis Kesulitan Belajar Matematika dalam Menyelesaikan Soal Cerita. Jurnal Ilmiah Sekolah Dasar, 3(4), 534–540.

Wiguna, I. K. W., & Tristaningrat, M. A. N. (2022). Langkah Mempercepat Perkembangan Kurikulum Merdeka Belajar. Edukasi: Jurnal Pendidikan Dasar, 3(1), 17-26.

Wing, J.M. (2017). Computational Thinking’s Influence On Research And Education For All. Italian Journal of Educational Technology, 25(2), 7-14.

Yadav, A., Hong, H., & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st-Century Problem Solving in K-12 Classrooms. TechTrends, 60(6), 565–568.

Published
2023-11-30
How to Cite
Aziz, S., Fauzan, A., & Helma, H. (2023). Computational Thinking Analysis of 21st Century Professional Teacher Candidates In Solving Math Problems Viewed from The Four Foundations of CT. JURNAL EKSAKTA PENDIDIKAN (JEP), 7(2), 211-224. https://doi.org/10.24036/jep/vol7-iss2/779

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