Open AccessPROFILE OF STUDENTS’ COMPUTATIONAL THINKING BASED ON SELF-REGULATED LEARNING IN COMPLETING BEBRAS TASKS
Author(s) -
Diah Nuraisa,
Hairul Saleh,
Sigit Raharjo
Publication year - 2021
Publication title -
prima: jurnal pendidikan matematika/prima : jurnal pendidikan matematika
Language(s) - English
Resource type - Journals
eISSN - 2580-2216
pISSN - 2579-9827
DOI - 10.31000/prima.v5i2.4173
Subject(s) - task (project management) , abstraction , computational thinking , self regulated learning , mathematics education , computer science , decomposition , autodidacticism , psychology , artificial intelligence , chemistry , engineering , philosophy , systems engineering , epistemology , organic chemistry
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.