Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Polinomial : Jurnal Pendidikan Matematika
Difani, Asyita Farikha
Unknown Affiliation
Education

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Kemampuan Berpikir Komputasi Siswa dalam Menyelesaikan Masalah Statistika Berdasarkan Pola Pikir Divergen dan Konvergen Difani, Asyita Farikha; Kurniawan, Agus Prasetyo; Istiqomah, Nisa Rachmi
Polinomial : Jurnal Pendidikan Matematika Vol. 4 No. 4 (2025)
Publisher : Papanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jp.v4i4.2564

Abstract

This study aims to provide an in-depth analysis of students’ computational thinking abilities in solving statistical problems by examining the differences between convergent and divergent thinking patterns. The research employed a descriptive qualitative approach involving six eleventh-grade students selected as subjects based on thinking pattern classifications, consisting of three students with a convergent tendency and three with a divergent tendency. The data collection instruments included student activity observation sheets and written tests. The data were analyzed using Miles and Huberman’s interactive model, which comprises three main stages: data reduction, data display, and conclusion drawing. The analysis focused on four core components of computational thinking: decomposition, pattern recognition, abstraction, and algorithmic thinking. The findings revealed that students with divergent thinking patterns were more active, flexible, and creative, particularly in identifying patterns, exploring multiple strategies, and constructing innovative solutions. In contrast, students with convergent thinking patterns demonstrated greater strength in systematically organizing information and applying procedures accurately, but were less thorough in exploring alternative strategies and providing broader interpretations of the analyzed data.
Co-Authors Agus Prasetyo Kurniawan, Agus Prasetyo Istiqomah, Nisa Rachmi