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All Journal JIPM (Jurnal Ilmiah Pendidikan Matematika) Prima: Jurnal Pendidikan Matematika
Diah Nuraisa
Universitas Muhammadiyah Tangerang
Education Mathematics

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Exploring Students Computational Thinking based on Self-Regulated Learning in the Solution of Linear Program Problem Diah Nuraisa; Amalina Nur Azizah; Dian Nopitasari; Swasti Maharani
JIPM (Jurnal Ilmiah Pendidikan Matematika) Vol 8, No 1 (2019): September
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (75.264 KB) | DOI: 10.25273/jipm.v8i1.4871

Abstract

This study aims to analyze the students computational thinking in the solution of the linear program problem based on self-regulated learning. The data were collected by self-regulated learning questionnaire, computational thinking test, and depth interviews. This study was conducted in SMAN 10 Tangerang. Computational thinking in students with high and medium levels of self-regulated learning has no difference. Students still make a solution that is fixated with linear program problem-solving procedures in general, that is using examples, substitution, and elimination. In solving problems, students can reach the stages of decomposition and pattern recognition only. Students still do not evaluate the results of their work. Algorithmic performed is less coherent because the abstraction has not been done. The recommendation for further research is the need for research that can develop student abstraction in solving problems. Besides, there is also a need for research that analyzes the reflective of students in computational thinking when solving problems.
PROFILE OF STUDENTS’ COMPUTATIONAL THINKING BASED ON SELF-REGULATED LEARNING IN COMPLETING BEBRAS TASKS Diah Nuraisa; Hairul Saleh; Sigit Raharjo
Prima: Jurnal Pendidikan Matematika Vol 5, No 2 (2021): Prima: Jurnal Pendidikan Matematika
Publisher : FKIP Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/prima.v5i2.4173

Abstract

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.
Co-Authors Amalina Nur Azizah Dian Nopitasari Hairul Saleh Sigit Raharjo Swasti Maharani