Charting a course: Exploring computational thinking skills in statistics content among junior high school students

Computational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era. This study explores how CT skills—decomposition, pattern recognition, abstraction, and algorithmic thinking—manifest in learning stati...

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Main Authors: Astuti Astuti, Evi Suryawati, Elfis Suanto, Putri Yuanita, Eddy Noviana
Format: Article
Language:English
Published: Journal of Pedagogical Research 2025-03-01
Series:Journal of Pedagogical Research
Subjects:
Online Access:https://www.ijopr.com/download/charting-a-course-exploring-computational-thinking-skills-in-statistics-content-among-junior-high-16085.pdf
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author Astuti Astuti
Evi Suryawati
Elfis Suanto
Putri Yuanita
Eddy Noviana
author_facet Astuti Astuti
Evi Suryawati
Elfis Suanto
Putri Yuanita
Eddy Noviana
author_sort Astuti Astuti
collection DOAJ
description Computational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era. This study explores how CT skills—decomposition, pattern recognition, abstraction, and algorithmic thinking—manifest in learning statistics based on students' cognitive abilities. A qualitative research method was employed, involving 30 junior high school students, with six participants representing high, medium, and low initial abilities. This study uniquely maps students' CT performance in solving statistical problems, a domain that has been underexplored in relation to these skills. The results reveal significant differences based on cognitive ability: (a) students with high cognitive abilities demonstrate mastery of CT skills across all four indicators when solving statistical problems; (b) students with moderate abilities show partial competence, excelling in decomposition and abstraction but struggling with pattern recognition and algorithmic thinking; (c) students with low abilities achieve limited success, excelling in decomposition but facing challenges with the other CT skills. The novelty of this research lies in its focused examination of the intersection between CT skills and statistical problem-solving in junior high students, offering valuable insights for curriculum development. The findings suggest that integrating CT skills into statistics education enhances problem-solving capabilities across varying cognitive levels, promoting more inclusive and effective learning in the digital era.
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spelling doaj-art-37916bf41ee640d0aa290e5daf0fad742025-08-20T01:53:22ZengJournal of Pedagogical ResearchJournal of Pedagogical Research2602-37172025-03-019118220210.33902/JPR.202531653Charting a course: Exploring computational thinking skills in statistics content among junior high school studentsAstuti Astuti0Evi Suryawati1Elfis Suanto2Putri Yuanita3Eddy Noviana4Doctorate Program of Education, Universitas Riau, Indonesia; Department of Mathematics Education, Universitas Pahlawan Tuanku Tambusai, IndonesiaDoctorate Program of Education, Universitas Riau, IndonesiaDoctorate Program of Education, Universitas Riau, IndonesiaDoctorate Program of Education, Universitas Riau, IndonesiaDoctorate Program of Education, Universitas Riau, Indonesia; Department of Elementary Teacher Education, Universitas Riau, Pekanbaru, IndonesiaComputational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era. This study explores how CT skills—decomposition, pattern recognition, abstraction, and algorithmic thinking—manifest in learning statistics based on students' cognitive abilities. A qualitative research method was employed, involving 30 junior high school students, with six participants representing high, medium, and low initial abilities. This study uniquely maps students' CT performance in solving statistical problems, a domain that has been underexplored in relation to these skills. The results reveal significant differences based on cognitive ability: (a) students with high cognitive abilities demonstrate mastery of CT skills across all four indicators when solving statistical problems; (b) students with moderate abilities show partial competence, excelling in decomposition and abstraction but struggling with pattern recognition and algorithmic thinking; (c) students with low abilities achieve limited success, excelling in decomposition but facing challenges with the other CT skills. The novelty of this research lies in its focused examination of the intersection between CT skills and statistical problem-solving in junior high students, offering valuable insights for curriculum development. The findings suggest that integrating CT skills into statistics education enhances problem-solving capabilities across varying cognitive levels, promoting more inclusive and effective learning in the digital era. https://www.ijopr.com/download/charting-a-course-exploring-computational-thinking-skills-in-statistics-content-among-junior-high-16085.pdfcognitive abilitiescomputational thinkingjunior high schoolproblem-solvingstatistics educationqualitative research
spellingShingle Astuti Astuti
Evi Suryawati
Elfis Suanto
Putri Yuanita
Eddy Noviana
Charting a course: Exploring computational thinking skills in statistics content among junior high school students
Journal of Pedagogical Research
cognitive abilities
computational thinking
junior high school
problem-solving
statistics education
qualitative research
title Charting a course: Exploring computational thinking skills in statistics content among junior high school students
title_full Charting a course: Exploring computational thinking skills in statistics content among junior high school students
title_fullStr Charting a course: Exploring computational thinking skills in statistics content among junior high school students
title_full_unstemmed Charting a course: Exploring computational thinking skills in statistics content among junior high school students
title_short Charting a course: Exploring computational thinking skills in statistics content among junior high school students
title_sort charting a course exploring computational thinking skills in statistics content among junior high school students
topic cognitive abilities
computational thinking
junior high school
problem-solving
statistics education
qualitative research
url https://www.ijopr.com/download/charting-a-course-exploring-computational-thinking-skills-in-statistics-content-among-junior-high-16085.pdf
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