The Urgency of Developing Computational Thinking Skills Test Instruments on Biology Subject for Senior High School Students

Muhammad Rafik, Indah Juwita Sari

Abstract


The effort needed to achieve optimal education in the era of the Industrial Revolution 4.0 is to develop problem-solving skills closely related to computational thinking. The type of research used is qualitative descriptive to know the urgency of developing a computational thinking skills test instrument for Biology high school students. The subject of this research is a Biology teacher spread across Banten Province. Tahapan penelitian meliputi pengambilan data melalui kuesioner, analisis data, dan penarikan kesimpulan. The research stages include collecting data through questionnaires, data analysis, and conclusions. The research results show that 57% of teachers know enough about computational thinking skills, and 71% do not know enough about indicators of computational thinking skills. However, as many as 57% of teachers had applied decomposition questions, 43% had applied pattern recognition questions, 71% had applied abstraction questions, and 71% had applied algorithm questions. The conclusion of this research is the importance of computational thinking skills in biology learning, so there is a need to develop test instruments to measure these skills in students at school.


Keywords


Computational Thinking Skills; Biology; High School Students

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Adlini, M. N., Dinda, A. H., Yulinda, S., Chotimah, O., & Merliyana, S. J. (2022). Metode Penelitian Kualitatif Studi Pustaka. Edumaspul: Jurnal Pendidikan, 6(1), 974–980. https://doi.org/10.33487/edumaspul.v6i1.3394

Amalia, A. R. (2022). Model Computational Thinking pada Kurikulum Merdeka sebagai Inovasi Pembelajaran di SD. Proseding Didaktis: Seminar Nasional Pendidikan Dasar, 7(1), 499–507.

Basawapatna, A., Koh, K. H., Repenning, A., Webb, D. C., & Marshall, K. S. (2011). Recognizing Computational Thinking Patterns. SIGCSE'11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education, March 9-12, Dallas, Texas, USA: 245-250. https://doi.org/10.1145/1953163.1953241

Blokhuis, D., Csizmadia, A., Millican, P., Roffey, C., Schrijvers, E., & Sentance, S. (2019). UK Bebras Computational Thinking Challenge. English: University of Oxford.

Castañeda, A. M. (2023). Computational Thinking for a 5.0 Society. Tecnología, Ciencia y Educación, 25, 111–140. https://doi.org/10.51302/tce.2023.1440

Dagiene, V., & Futschek, G. (2008). Bebras International Contest on Informatics and Computer Literacy: Criteria for Good Tasks. In Springer: https://doi.org/10.1145/2538862.2538917. (Ed.), International Conference on Informatics in Secondary Schools Evolution and Perspectives. (pp. 19-30. Berlin, Germany: Springer.). https://doi.org/10.1007/978-3-540-69924-8_2

Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic Thinking, Cooperativity, Creativity, Critical Thinking, and Problem Solving: Exploring the Relationship between Computational Thinking Skills and Academic Performance. Journal of Computers in Education, 4(4), 355–369. https://doi.org/10.1007/s40692-017-0090-9

Elfianis, R. (2023). Dekomposisi Genetik: Pengertian, Proses, Tujuan, dan Fungsi. Available at agrotek.id/dekomposisi-genetik/. Accessed on 01 Nov. 2023.

Grover, S., & Pea, R. (2013). Computational Thinking in K-12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189X12463051

Kalelioğlu, F. (2018). Characteristics of Studies Conducted on Computational Thinking: A Content Analysis. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, 11–29. https://doi.org/10.1007/978-3-319-93566-9_2

Kim, B., Kim, T., & Kim, J. (2014). Paper-and-Pencil Programming Strategy toward Computational Thinking for Non-majors: Design Your Solution. Journal of Educational Computing Research, 49(4), 437–459. https://doi.org/10.2190/EC.49.4.b

Lai, R. P. Y. (2020). The Design, Development, and Evaluation of a Novel Computer-based Competency Assessment of Computational Thinking. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, June 15-19, Trondheim, Norway. 573-574. https://doi.org/10.1145/3341525.3394002

Lestari, S., & Roesdiana, L. (2023). Analisis Kemampuan Berpikir Komputasional Matematis Siswa pada Materi Program Linear. RANGE: Jurnal Pendidikan Matematika, 4(2), 178–188. https://doi.org/10.32938/jpm.v4i2.3592

Manyika, J., Susan, L., Michael, C., Bughin, J., Jonathan, W., Batra, P., Ko, R., & Sanghvi, S. (2017). Workforce Transitions in a Time of Automation - Executive Summary. In Mckinsey globar institute (Issue December). https://www.mckinsey.com/~/media/McKinsey/Featured Insights/Future of Organizations/What the future of work will mean for jobs skills and wages/MGI-Jobs-Lost-Jobs-Gained-Executive-summary-December-6-2017.ashx

OECD. (2019). Pendidikan di Indonesia Belajar dari Hasil PISA 2018. Pusat Penilaian Pendidikan Balitbang KEMENDIKBUD, 021, 1–206.

Román-González, M., Moreno-León, J., & Robles, G. (2019). Combining Assessment Tools for a Comprehensive Evaluation of Computational Thinking Interventions. In Computational Thinking Education (pp. 79–98). Singapore: Springer. https://doi.org/10.1007/978-981-13-6528-7_6

Sari, F. K., Roshayanti, F., Rakhmawati, R., & Hayat, M. S. (2022). Persepsi Guru Biologi Terhadap Computational Thinking Pada Sekolah Menengah Atas Se Kecamatan Kayen. Biogenesis, 18(1), 68. https://doi.org/10.31258/biogenesis.18.1.68-84

Satrio, W. A. (2020). Pengaruh Model Pembelajaran Kadir (Koneksi, Aplikasi, Diskursus, Improvisasi, dan Refleksi) terhadap Kemampuan Berpikir Komputasional Matematis Siswa. Skripsi. Pendidikan Matematika. Universitas Islam Negeri Syarif Hidayatullah.

Schulz, K., Hobson, S., & Keane, T. (2015). Bebras Australia Computational Thinking Challenge: Task and Solutions 2015. Australia: Digitalcareers.

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

Sondakh, D. E., Osman, K., & Zainudin, S. (2020). A Proposal for Holistic Assessment of Computational Thinking for Undergraduate: Content Validity. European Journal of Educational Research, 9(1), 33–50. https://doi.org/10.12973/eu-jer.9.1.33

Subagja, S., Rubini, B., & Pursitasari, I. D. (2022). Student Needs Analysis of the Scientific Literacy Oriented Interactive Multimedia on Living Cells Matter. International Journal of Biology Education Towards Sustainable Development, 2(1), 1–11. https://doi.org/10.53889/ijbetsd.v2i1.116

Supiarmo, M. G., Mardhiyatirrahmah, L., & Turmudi, T. (2021). Pemberian Scaffolding untuk Memperbaiki Proses Berpikir Komputasional Siswa dalam Memecahkan Masalah Matematika. Jurnal Cendekia: Jurnal Pendidikan Matematika, 5(1), 368–382. https://doi.org/10.31004/cendekia.v5i1.516

Suryani, A. (2010). Ict in Education: Its Benefits, Difficulties, and Organizational Development Issues. Jurnal Sosial Humaniora, 3(1), 106–123. https://doi.org/10.12962/j24433527.v3i1.651

Syafril, Rahmi, U., & Almardiyah, A. (2019). Need Analysis for Learning Journals App to Identify Learning Styles. International Conference on Education Technology (ICoET 2019), 372, 145–148.

Weese, J. L., & Feldhausen, R. (2017). STEM Outreach: Assessing Computational Thinking and Problem Solving. ASEE Annual Conference and Exposition. https://doi.org/10.18260/1-2--28845

Werner, L., Denner, J., Campe, S., & Kawamoto, D. C. (2012). The Fairy Performance Assessment: Measuring Computational Thinking in Middle School. SIGCSE'12 - Proceedings of the 43rd ACM Technical Symposium on Computer Science Education, 215–220. https://doi.org/10.1145/2157136.2157200

Wing, J. M. (2017). Towards Computational Thinking. ITNOW, 59(4), 6–7. https://doi.org/10.1093/itnow/bwx113

Yusup, M. A., Herlambang, A. D., & Wijoyo, S. H. (2023). Pengaruh Keterampilan Berpikir Komputasi terhadap Motivasi Belajar Siswa pada Mata Pelajaran Dasar Desain Grafis Jurusan TKJ di SMK Muhammadiyah 1 Malang. 7(2), 781–795.




DOI: https://doi.org/10.53889/ijbetsd.v3i2.334

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