Pemikiran Komputasional Murid dalam Pendidikan Matematik Berdasarkan Tinjauan Literatur Bersistematik
Abstract
Kemahiran pemikiran komputasional amat berguna bagi penyelesaian masalah dalam pelbagai bidang. Malangnya, tidak banyak kajian lepas membincangkan secara sistematik berkaitan penerapan pemikiran komputasional oleh guru dalam Pendidikan Matematik. Sehubungan itu, kajian ini bertujuan mengkaji trend kecenderungan kajian lepas tentang pemikiran komputasional mengikut negara, kepelbagaian definisi pemikiran komputasional dalam Pendidikan Matematik, usaha yang dilaksanakan untuk menerapkan murid dengan kemahiran pemikiran komputasional dalam Pendidikan Matematik dan jenis aktiviti pemikiran komputasional yang dilaksanakan guru dalam pengajaran dan pembelajaran (PdP) Matematik. Kajian ini berpandukan Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) melibatkan empat fasa iaitu pengenalpastian (identification), seterusnya penapisan (screening), penyemakan kelayakan (eligibility) dan pemeriksaan rangkuman (included). Pangkalan data Scopus dan Web of Science (WoS) digunakan sehingga saringan 20 buah artikel akhir di antara tahun 2018 hingga 2022 mengikut kriteria-kriteria ditetapkan. Dapatan menunjukkan definisi pemikiran komputasional memfokus kepada proses pemikiran, merumuskan masalah, menyelesaikan masalah dan ejen pemprosesan maklumat. Selain itu, usaha menerapkan kemahiran pemikiran komputasional murid seperti penyediaan bahan pengajaran dan aktiviti, aktiviti pengaturcaraan, bengkel, modul pengajaran, kesedaran kendiri dan pelaksanaan projek boleh dilaksanakan. Sebanyak tiga kategori aktiviti pemikiran komputasional iaitu plugged activity, unplugged activity dan plugged activity and unplugged activity boleh dilaksanakan guru semasa PdP. Dapatan ini boleh memperbaiki penerapan pemikiran komputasional seseorang individu. Kajian lanjutan boleh dilaksanakan dengan mengkaji pengaruh jenis aktiviti (plugged activity, unplugged activity, plugged activity and unplugged activity) terhadap kemahiran pemikiran komputasional di dalam diri murid.
Downloads
References
Abdul Halim Abdullah. (2020, Mac 28). COVID-19 buka mata warga pendidik dan pelajar. Berita Harian. https://www.bharian.com.my/rencana/komentar/2020/03/670 374/COVID-19-buka-mata-warga-pendidik-pelajar
Abdul Hanid, M. F., Mohamad, Said M. N. H., Yahaya, N., & Abdullah, Z. (2022). Effects of
augmented reality application integration with computational thinking in geometry topics. Education and Information Technologies. https://doi.org/10.1007/s10639-022-10994-w
Araya, R., Isoda, M., & Moris, J.M. (2021). Developing computational thinking teaching strategies to model pandemics and containment measures. International Journal of Environmental Research and Public Health, 18(23), 1-30. https://doi.org/10.3390/ijerph182312520
Arsyad, S., Zaim, M., & Susyla, D. 2018. Review and citation style in research article introductions: a comparative study between national and international English-medium journals in medical sciences. Discourse and Interaction, 11(1), 28–51. http://dx.doi.org/10.5817/DI2018-1-28
Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for
everyone. Learning & Leading with Technology, 38(6), 20–23. http://files.eric.ed.gov/fulltext/EJ918910.pdf
Barrón-Estrada, M.L., Zatarain-Cabada, R., Romero-Polo J.A., & Monroy, J.N. (2022). Patrony: A mobile application for pattern recognition learning. Education and Information Technologies, 27, 1237–1260. https://doi.org/10.1007/s10639-021-10636-7
Bower, M., & Falkner, K. (2015). “Computational thinking, the notional machine, pre-service teachers, and research opportunities.” Proceedings of the 17th Australasian Computing Educatio Conference, 27-30 January 2015. https://crpit.scem.westernsydney.edu.au/abstracts/CRPITV160Bower.html
Bouck, E. C., & Yadav, A. (2022). Providing access and opportunity for computational thinking and computer science to support mathematics for students with disabilities. Journal of Special Education Technology, 37(1), 1-10. https://doi.org/10.1177/0162643420978564
Bråting, K., & Kilhamn, C. (2021). Exploring the intersection of algebraic and computational thinking. Mathematical Thinking and Learning, 23(2), 170-185. https://doi.org/10.1080/10986065.2020.1779012
Chan, S. W., Looi, C. K., Ho, W. K., Huang, W., Seow, P., & Wu, L. (2021). Learning number patterns through computational thinking activities: A rasch model analysis. Heliyon, 7(9),1-14. https://doi.org/10.1016/j.heliyon.2021.e07922
CSTA, & ISTE (2011). Operational definition of computational thinking for K-12 education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_ Definition_ISTE.pdf
Cui, Z., & Ng, O. L. (2021). The interplay between mathematical and computational thinking in primary school students’mathematical problem-solving within a programming environment. Journal of Educational Computing Research, 59(5), 988–1012. https://doi.org/10.1177/0735633120979930
diSessa A.A. (2018). Computational literacy and “the big picture” concerning computers in mathematics education. Mathematical Thinking and Learning, 20(1), 3-31. https://doi.org/10.1080/10986065.2018.1403544
Falloon, G. (2016). An analysis of young students’ thinking when completing basic coding tasks using scratch jnr on the ipad. Journal of Computer Assisted Learning, 32(6), 576–593. https://doi.org/10.1111/jcal.12155
Fanchamps, N. L. J. A., Slangen, L., Hennissen, P., & Specht, M. (2021). The influence of SRA programming on algorithmic thinking and self‑efficacy using lego robotics in two types of instruction. International Journal of Technology and Design Education, 31, 203–222. https://doi.org/10.1007/s10798-019-09559-9
Figueiredo, Q., & Alberto, J. (2017). How to improve computational thinking: A case study education in the knowledge society. Education in the Knowledge Society, 18(4), 35-51. https://doi.org/10.14201/eks20171843551
Fink, A. (2019). Conducting research literature reviews: From the internet to paper (Fifth ed). Sage Publications, Inc.
Flemming, K., Booth, A., Hannes, K., Cargo, M., & Noyes, J. (2018). Cochrane qualitative and implementation methods group guidance paper 5: reporting guidelines for qualitative, implementation and process evaluation evidence syntheses. Journal of Clinical Epidemiology, 97, 79-85. https://doi.org/10.1016/j.jclinepi.2017.10.022
Gillath, O., & Karantzas., G. (2019). Attachment security priming: a systematic review. Current Opinion in Psychology, 25, 86-95. https://doi.org/10.1016/j.copsyc. 2018.03.001
Hadad, R., & Lawless, K.A. (2015). Assessing Computational Thinking. In M. Khosrow-Pour, D.B.A. (Eds), Encyclopedia of Information Science and Technology, Third Edition (pp.1568-1578). IGI Global. https://doi.org/10.4018/978-1-4666-5888-2.ch150
Hoyles, C., & Noss, R. (2015). Revisiting programming to enhance mathematics learning. Math + Coding Symposium Western University. London.
Humble, N., Mozelius, P., & Lisa, S. (2020). Remaking and reinforcing mathematics and technology with programming – teacher perceptions of challenges , opportunities and tools in K-12 settings. The International Journal of Information and Learning Technology, 37(5), 309–321. https://doi.org/10.1108/IJILT-02-2020-0021
Hynes, M. M., Cardella, M. E., Moore, T. J., Brophy, S. P., Purzer, S., Tank, K. M., Menekse, M., Yeter, I. H., & Ehsan, H. (2019). Inspiring young children to engage in computational thinking in and out of school. 2019 ASEE Annual Conference and Exposition (pp. 1–19). http://dx.doi.org/10.18260/1-2--32970
Israel, M., & Lash, T. (2020). From classroom lessons to exploratory learning progressions: mathematics + computational thinking. Interactive Learning Environments, 28(3), 362–382. https://doi.org/10.1080/10494820.2019.1674879
Jokic, M., Mervar, A., &Mateljan, S. (2019). Comparative analysis of book citations in social science journals by Central and Eastern European authors. Scientometrics, 120(3), 1005–1029. http://dx.doi.org/10.1007/s11192-019-03176-y
Kementerian Pendidikan Malaysia. (2019). Teks Ucapan Ucaptama Dan Majlis Perasmian YB Dr. Maszlee Malik Menteri Pendidikan Sempena Kolokium Pendidikan Revolusi 4.0. Kolokium Pendidikan Revolusi Industri 4.0. https://www.moe.gov.my/muat-turun/teks-ucapan-dan-slide/2019-7/3043-kolokium-pendidikan-revolusi-industri-4-0
Khenner, E.K. (2016). Computational thinking. The Education and Science Journal, 2, 18-33. https://doi.org/10.17853/1994-5639-2016-2-18-33
Kusnan, A., Sulastrianah, S., & Rhenislawaty, R. (2020). Peningkatan peran civitas perguruan tinggi dalam upaya tanggap bencana nasional melalui edukasi dan pencegahan penyebaran wabah pada masa pandemi Covid 19 di Kabupaten Kolaka. Journal of Community Engagement in Health, 3(2), 257–265. https://jceh.org/index.php/JCEH/article/view/77
Kynigos, C., & Grizioti, M. (2018). Programming approaches to computational thinking: Integrating turtle geometry, dynamic manipulation and 3D space. Informatics in Education, 17(2), 321–340. https://doi.org/10.15388/infedu.2018.17
Leifheit, L., Jabs, J., Ninaus, M., Moeller, K., & Ostermann, K. (2018). Programming unplugged: an evaluation of game-based methods for teaching computational thinking in primary school. In ECGBL. 12th European Conference on Game-Based Learning (pp.344). https://www.researchgate.net/publication/339850179_ Programming_Unplugged_An_Evaluation_of_GameBased_Methods_for_Teaching_Computational_Thinkingin_Primary_School
Mahlan, S. T., Razak, N.A. A., Shamsuddin, M., & Alias, F. A. (2017). Kesalahan pelajar dalam asas matematik: kajian kes pelajar pra-diploma perdagangan, uitm cawangan pulau pinang. International Academic Research Journal of Social Science, 3(1), 179-185. http://www.iarjournal.com/wp-content/uploads/IARJSS2017_1_17 9-185.pdf
Majumder, S., Khaloozadeh, K., Czerniak, C. M., Oluoch, J., Shockey, T., Javaid, A., Mentzer, G., Ducket, R., & Ponnaiyan, T. (2020). A study of common concerns inhibiting teacher enactment of computational thinking into project-based mathematics and career technical education. Proceedings Of the 12th International Conference on Computer Supported Education (CSEDU2020) (pp. 341–349). https://doi.org/ 10.5220/0009337403410349
Maraza-Quispe, B., Sotelo-Jump, A. M., Alejandro-Oviedo, O. M., Quispe-Flores, L. M., Cari Mogrovejo, L. H., Fernandez-Gambarini, W. C., & Cuadros-Paz L. E. (2021). Towards the development of computational thinking and mathematical logic through scratch. International Journal of Advanced Computer Science and Applications, 12, 2. https://dx.doi.org/10.14569/IJACSA.2021.0120242
Masfingatin, T., & Maharani, S. (2019). Computational thinking: Students on proving geometry theorem. International Journal Of Scientific & Technology Research, 8(9), 2216-2223. https://www.ijstr.org/final-print/sep2019/Computational-Thinking-Students-On-Proving-Geometry-Theorem.pdf
Mohamed, H., & Maat, S. M. (2021). Sorotan literatur bersistematik terhadap komuniti pembelajaran profesional dalam kalangan guru matematik sekolah. Malaysian Journal of Social Sciences and Humanities (MJSSH), 6(10), 164 - 176. https://doi.org/10.47405/mjssh.v6i10.1066
Moreno León, J. (2014, March 23). Programamos. Obtenido de Videojuegos y "apps". https://programamos.es/que-es-el-pensamiento-computacional/
Mouza, C., Yang, H., Pan, Y. C., Yilmaz Ozden, S., & Pollock, L. (2017). Resetting educational
technology coursework for pre-service teachers: A computational thinking approach to the development of technological pedagogical content knowledge (TPACK). Australasian Journal of Educational Technology, 33(3), 61–76. https://doi.org/10.14742/ajet.3521
Ng, OL., & Cui, Z. (2020). Examining primary students’ mathematical problem‑solving in a
programming context: towards computationally enhanced mathematics education. ZDM Mathematics Education, 53, 847-860. https://doi.org/10.1007/s11858-020-01200-7
Reichert, J. T., Couto Barone, D. A., & Kist, M. (2020). Computational thinking in K-12: An analysis with mathematics teachers. Eurasia Journal of Mathematics, Science and Technology Education, 16(6), 1-14. https://doi.org/10.29333/EJMSTE/7832
Rodríguez-Martínez, J. A., González-Calero, J. A., Sáez-López, J. M. (2020). Computational thinking and mathematics using Scratch: an experiment with sixth-grade students. Interactive Learning Environments, 28(3), 316-327. https://doi.org/10.1080/10494820.2019.1612448
Sáez-López, J.-M., Sevillano-García, M.-L., & Vazquez-Cano, E. (2019). The effect of programming on primary school students’ mathematical and scientific understanding: educational use of mBot. Education Tech Research Dev. 67, 1405–1425. https://doi.org/10.1007/s11423-019-09648-5
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
Sinclair, N., & Patterson, M. (2018). The dynamic geometrisation of computer programming. Mathematical Thinking and Learning, 20(1), 54-74. http://dx.doi.org/10.1080/10986065.2018.1403541
Sırakaya, D.A. (2020). Investigating computational thinking skills based on different variables and determining the predictor variables. Participatory Educational Research (PER), 7(2),102-114. http://dx.doi.org/10.17275/per.20.22.7.2
Soboleva, E. V., Sabirova, E. G., Babieva, N. S., Sergeeva, M. G., & Torkunova, J. V. (2021). Formation of computational thinking skills using computer games in teaching mathematics. EURASIA Journal of Mathematics, Science and Technology Education,17, 10. https://doi.org/10.29333/ejmste/11177
Sumarni, L., & Zamr, M. (2018). Tahap pengetahuan, sikap dan kesediaan pelajar tingkatan 4 terhadap penggunaan pembelajaran persekitaran maya VLE Frog dalam pembelajaran bahasa melayu. Jurnal Pendidikan Bahasa Melayu, 8 (1), 53-62. https://spaj.ukm.my/jpbm/index.php/jpbm/article/view/166
Tabesh, Y. (2017). Computational thinking: A 21st century skill. Olympiads in Informatics 11, 65-70. https://doi.org/10.15388/ioi.2017.special.10
World Economic Forum (WEF). (2020). The future of jobs report. Geneva. Switzerland: Centre for the new economy and society.
Welch, L. E., Shumway, J. F., Clarke-Midura, J., & Lee, V. R. (2022). Exploring measurement through coding: Children’s conceptions of a dynamic linear unit with robot coding toys. Education Sciences, 12, 143. https://doi.org/10.3390/educsci12020143
Wiedemann, K., Chao, J., Galluzzo, B., & Simoneau, E. (2020). Mathematical modeling with R: Embedding computational thinking into high school math classes. ACM Inroads, 11(1), 33-42. https://doi.org/10.1145/3380956
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
https://doi.org/10.1145/1118178.1118215
Wing, J. M. (2008). Computational thinking and thinking about computing. , 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118
Wing, J. M. (2010). Computational Thinking: What and Why? The link - The Magaizne of the Varnegie Mellon University School of Computer Science. https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf
https://people.cs.vt.edu/~kafura/CS6604/Papers/CT-What-And-Why. pdf
Wing, J. M. (2014, January 11). Computational thinking benefits society. . http://socialissues.cs.toronto.edu/index.html%3Fp=279.html