Computational Thinking dalam Pembelajaran Matematika Menghadapi Era Society 5.0

Authors

  • Anggita Maharani Universitas Swadaya Gunung Djati, (anggi3007@yahoo.co.id), Cirebon, Indonesia, Indonesia

DOI:

https://doi.org/10.33603/e.v7i2.3364

Abstract

Artikel ini mengkaji mengenai kemampuan Computational Thinking sebagai kemampuan esensial Era Society 5.0 dimana digitalisasi artificial intelegence, robotik, otomasi, big data, cyber,  telah menjadi bagian dari aktifitas kehidupan manusia sekaligus merubah tatanan human-centered ke technology-based. Computational thinking meliputi kemampuan berpikir spesifik, kemampuan pemecahan masalah termasuk abstraksi, dekomposisi, evaluasi, pola, recognition, logika, dan desain algoritma. Metode yang digunakan secara literature berdasarkan kajian lebih dari 50 literatur berbagai bidang ilmu khususnya informatika dan kaitannya terhadap matematika yang diperoleh melalui bsis data ilmiah nasional, DOAJ, dan Google Schoolar. Sumber literatur dikaji secara kualitatif melalui tahap inperetasi teks, penyusunan kode, analisis, diskusi, dan pertimbangan kembali. Uraian pembahasan merujuk pada konteks Computational Thinking, indikator pengukurannya, metode pengembangannya, dan implementasinya dalam pembelajaran Matematika. Untuk mengembangkan computational thinking, diperlukan disposisi yang berkaitan dengan kompleksitas, kegigihan dalam bekerja dengan masalah yang sulit, kemampuan ambiguitas, kemampuan terkait masalah open-ended, dan kemampuan berkomunikasi. Implementasi TPACK (technological pedagogical technologic content knowledge) dalam mengembangkan computational thinking perlu dikaji lebih dalam mengenai strategi dan metode pemecahan masalah yang dapat menghubungkan computational thinking dengan praktik pengajaran.

 

Kata Kunci. Computational thinking, Matematika, Society 5.0, Artificial intelligence.

Author Biography

Anggita Maharani, Universitas Swadaya Gunung Djati, (anggi3007@yahoo.co.id), Cirebon, Indonesia

Link Scopus ID

Link Sinta ID

Prodi Pendidikan Matematika

References

Al Faruqi, U. (2019). Future Service in Industry 5.0. Jurnal Sistem Cerdas, 2(1), 67–79.

Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20–23.

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? Acm Inroads, 2(1), 48–54.

Bers, M. U. (2008). Blocks to Robots Learning with Technology in the Early Childhood Classroom. Teachers College Press.

Blum, C., & Parette, H. P. (2015). Universal design for learning and technology in the early childhood classroom. In Young children and families in the information age (pp. 165–182). Springer.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada (Vol. 1, p. 25).

Catlin, D., & Woollard, J. (2014). Educational robots and computational thinking. In Proceedings of 4th International workshop teaching robotics, teaching with robotics & 5th International conference robotics in education (pp. 144–151).

Charniak, E. (1985). Introduction to artificial intelligence. Pearson Education India.

Dey, S., Roy, A., & Das, S. (2016). Home automation using Internet of Thing. In 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 1–6). IEEE.

Elkind, D. (1996). Young children and technology: A cautionary note. Young Children, 51(6), 22–23.

Ferreira, C. M., & Serpa, S. (2018). Society 5.0 and Social Development. Management and Organizational Studies (5), 26–31.

Fujii, T., Guo, T., & Kamoshida, A. (2018). A Consideration of Service Strategy of Japanese Electric Manufacturers to Realize Super Smart Society (SOCIETY 5.0). In International Conference on Knowledge Management in Organizations (pp. 634–645). Springer.

Fukuda, K. (2019). Science, technology and innovation ecosystem transformation toward society 5.0. International Journal of Production Economics, 107460.

Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan Spotlight, 1, 47–50.

Gadanidis, G. (2017). Artificial intelligence, computational thinking, and mathematics education. The International Journal of Information and Learning Technology.

Genesereth, M. R., & Nilsson, N. J. (2012). Logical foundations of artificial intelligence. Morgan Kaufmann.

Gladden, M. E. (2019). Who will be the members of Society 5.0? Towards an anthropology of technologically posthumanized future societies. Social Sciences, 8(5), 148.

Grover, S., & Pea, R. (2018). Computational Thinking: A competency whose time has come. Computer Science Education: Perspectives on Teaching and Learning in School, 19.

Hart, L. C., Smith, S. Z., Swars, S. L., & Smith, M. E. (2009). An examination of research methods in mathematics education (1995-2005). Journal of Mixed Methods Research, 3(1), 26–41.

Heliany, I. (2019). Wonderful Digital Tourism Indonesia Dan Peran Revolusi Industri Dalam Menghadapi Era Ekonomi Digital 5.0. Destinesia: Jurnal Hospitaliti Dan Pariwisata, 1(1), 21–35.

Kale, U., Akcaoglu, M., Cullen, T., Goh, D., Devine, L., Calvert, N., & Grise, K. (2018). Computational What? Relating Computational Thinking to Teaching. TechTrends, 62(6), 574–584.

Keengwe, J., & Onchwari, G. (2009). Technology and early childhood education: A technology integration professional development model for practicing teachers. Early Childhood Education Journal, 37(3), 209.

Khosla, R., Damiani, E., & Grosky, W. (2003). Why Human-Centered e-Business? In Human-Centered e-Business (pp. 1–12). Springer.

Lee, S.-H., & Lee, D.-W. (2016). Actual cases for smart fusion industry based on internet of thing. Journal of the Korea Convergence Society, 7(2), 1–6.

Liu, J., & Wang, L. (2010). Computational thinking in discrete mathematics. In 2010 Second International Workshop on Education Technology and Computer Science (pp. 413–416). IEEE.

Luger, G. F. (2005). Artificial intelligence: structures and strategies for complex problem solving. Pearson education.

Mumtaha, H. A., & Khoiri, H. A. (2019). Analisis Dampak Perkembangan Revolusi Industri 4.0 dan Society 5.0 Pada Perilaku Masyarakat Ekonomi (E-Commerce). Jurnal Pilar Teknologi: Jurnal Ilmiah Ilmu Ilmu Teknik, 4(2).

Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann.

Orton, K., Weintrop, D., Beheshti, E., Horn, M., Jona, K., & Wilensky, U. (2016). Bringing computational thinking into high school mathematics and science classrooms. Singapore: International Society of the Learning Sciences.

Pangkey, F. M., Furkan, L. M., & Herman, L. E. (2019). Pengaruh Artificial Intelligence dan Digital Marketing terhadap Minat Beli Konsumen. Jurnal Magister Manajemen Unram Vol, 8(3).

Román-González, M., Pérez-González, J.-C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior, 72, 678–691.

Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.

Salgues, B. (2018). Society 5.0: industry of the future, technologies, methods and tools. John Wiley & Sons.

Sediyono, E. (2019). Teknologi Humanis di Era Digital. In Prosiding Seminar Nasional Teknologi Informasi dan Komunikasi (SENATIK) (Vol. 2, pp. 1–6).

Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies, 18(2), 351–380.

Shiroishi, Y., Uchiyama, K., & Suzuki, N. (2018). Society 5.0: For human security and well-being. Computer, 51(7), 91–95.

Sung, W., Ahn, J., & Black, J. B. (2017). Introducing computational thinking to young learners: Practicing computational perspectives through embodiment in mathematics education. Technology, Knowledge and Learning, 22(3), 443–463.

Sysło, M. M., & Kwiatkowska, A. B. (2014). Learning mathematics supported by computational thinking. Constructionism and Creativity, 258–268.

Tabesh, Y. (2017). Computational thinking: A 21st century skill. Olympiads in Informatics, 11, 65–70.

Tanwar, S., Patel, P., Patel, K., Tyagi, S., Kumar, N., & Obaidat, M. S. (2017). An advanced internet of thing based security alert system for smart home. In 2017 International Conference on Computer, Information and Telecommunication Systems (CITS) (pp. 25–29). IEEE.

Tjandrawinata, R. R. (2016). Industri 4.0: Revolusi industri abad ini dan pengaruhnya pada bidang kesehatan dan bioteknologi. Jurnal Medicinus, 29(1), 31–39.

Voskoglou, M. G., & Buckley, S. (2012). Problem solving and computational thinking in a learning environment. arXiv Preprint arXiv:1212.0750.

Wang, F., Kinzie, M. B., McGuire, P., & Pan, E. (2010). Applying technology to inquiry-based learning in early childhood education. Early Childhood Education Journal, 37(5), 381–389.

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127–147.

Wing, J. (2011). Research notebook: Computational thinking—What and why. The Link Magazine, 6.

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.

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.

Wing, J. M. (2014). Computational thinking benefits society. 40th Anniversary Blog of Social Issues in Computing, 2014.

Yadav, A., Zhou, N., Mayfield, C., Hambrusch, S., & Korb, J. T. (2011). Introducing computational thinking in education courses. In Proceedings of the 42nd ACM technical symposium on Computer science education (pp. 465–470).

Yang, H., Mouza, C., & Pan, Y.-C. (2018). Examining pre-service teacher knowledge trajectories of computational thinking through a redesigned educational technology course. International Society of the Learning Sciences, Inc.[ISLS].

Zhang, C., & Green, R. (2015). Communication security in internet of thing: preventive measure and avoid DDoS attack over IoT network. In Proceedings of the 18th Symposium on Communications & Networking (pp. 8–15).

Downloads

Published

2020-07-15

Issue

Section

Artikel

Citation Check