PROFILE OF STUDENTS’ COMPUTATIONAL THINKING BASED ON SELF-REGULATED LEARNING IN COMPLETING BEBRAS TASKS
DOI:
https://doi.org/10.31000/prima.v5i2.4173Keywords:
computational thinking, self-regulated learning, bebras taskAbstract
Bebras task is a problem solving problem that integrates computational thinking in it, which the stages in computational thinking consist of: decomposition, abstraction, algorithm, and pattern recognition. This study aims to describe the profile of student’s computational thinking based on the level of self-regulated learning in completing bebras task. This study is a qualitative-descriptive study with three research subjects based on the level of students’ self-regulated learning, namely high self-regulated learning, medium self-regulated learning, and low self-regulated learning. The results of this study indicate that students with different levels of self-regulated learning have different computational thinking ability in completing bebras task. Student with high level of self-regulated learning can reach the stages of decomposition, abstraction, algorithm, and pattern recognition. Student with medium level of self-regulated learning can reach the stages of decomposition, absraction, and algorithm. Student with low level of self-regulated learning can reach the stage of decomposition only. Student with low level of self-regulated learning do not yet reflect independence in learning.
References
Departemen Pendidikan Nasional. 2003. Undang-undang RI No. 20 Tahun 2003 tentang Sistem Pendidikan Nasional.
Hadi, S. (2015). Metodologi Riset. Yogyakarta: Pustaka Pelajar.
Hamundu, A., Sudia, M., and Samparadja, H. (2017). Profil Pemecahan Masalah Yang Ditinjau Dari Self Regulated Learning Siswa SMP. Jurnal Pendidikan Matematika Vol. 8 No.2. Retrieved October 15, 2020, from https://www.neliti.com/publications/317591/profil-pemecahan-masalah-terbuka-yang-ditinjau-dari-self-regulated-learning-siswa.
Hendriana, H., Rohaeti, E.E., and Sumarmo, U. (2018). Hard Skills dan Soft Skills. Bandung: Refika Aditama.
Kong, S.-C., Abelson, H. (2019). Computational Thinking Education. Singapore: SpringerOne.
Kristiyani, T. (2016). Self-Regulated Learning Konsep Implikasi dan Tantangannya bagi Siswa di Indonesia. Yogyakarta: Sanata Dharma University Press.
Kusumaningtyas, Y.A.W. (2017). Peningkatan Kemampuan Pemecahan Masalah dan Hasil Belajar Matematika dengan Metode Problem Solving (PTK Siswa Kelas IX F SMP Negeri 1 Colomadu Tahun Ajaran 2016/2017). Skripsi FKIP Universitas Muhammadiyah Surakarta: tidak diterbitkan.
Mawardi. (2016. Ilmu Pendidikan. Jakarta: Yayasan Mirqot Ilmiah Al-Itqon.
Magisrahayu. (2019). Berpikir Komputasional. Jakarta: Kementerian Pendidikan dan Kebudayaan.
Moleong, L. J. (2017). Metodologi Penelitian Kualitatif. Bandung: Remaja Rosdakarya.
Mudyahardjo, R. (2012). Filsafat Ilmu Pendidikan. Bandung: Remaja Rosdakarya.
Mulyadi, S., Basuki, H., Rahardjo, W. (2017). Psikologi Pendidikan. Depok: RajaGrafindo Persada.
Telaumbanua, Y.N., Sinaga, B., Surya, M.E. (2017). Development of Mathematics Module Based on Metacognitive Strategy in Improving Students’ Mathematical Problem Solving Ability at High School. Journal of Education and Practice Vol. 8 No. 19.
Tim Olimpiade Komputer Indonesia. (2017). Tantangan Bebras Indonesia 2017 Bahan Belajar Computational Thinking Tingkat SMP. NBO Bebras Indonesia.
Tim Olimpiade Komputer Indonesia. (2018). Tantangan Bebras Indonesia 2018 Bahan Belajar Computational Thinking Tingkat SMP. NBO Bebras Indonesia.
Tim Olimpiade Komputer Indonesia. (t. thn). Bebras Challenge 2019. Dipetik Januari 8, 2020, dari Bebras Indonesia: http://bebras.or.id.
Wing, J.M. (2006). Computational Thinking. Communication of The ACM Vol. 49 No. 3.
Wing, J.M. (2010). Computational Thinking. Retrieved June 23, 2020, from https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf.
Yanti, S., and Surya, E. (2017). Kemandirian Belajar dalam Memaksimalkan Kualitas Pembelajaran. Retrieved September 11, 2020, from https://www.researchgate.net/publication/321833928.
Downloads
Additional Files
Published
Issue
Section
License
Authors who publish with Prima: Jurnal Pendidikan Matematika agree to the following terms: Authors retain copyright and grant the Prima: Jurnal Pendidikan Matematika right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in Prima: Jurnal Pendidikan Matematika. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in Prima: Jurnal Pendidikan Matematika. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).