Taufik Kurohman, Rini Setianingsih, Atik Wintarti
Computational thinking is the student's ability to solve problems through skills such as decomposition, pattern recognition, algorithmic thinking, and the abstraction and generalization of patterns to reach a solution. Different levels of logical-mathematical intelligence affect students' computational thinking abilities. This research aims to outline students' computational thinking capabilities in solving mathematical problems based on their different logical-mathematical intelligence. This is a qualitative descriptive study, with subjects consisting of one student with high intelligence, one with medium intelligence, and one with low intelligence. Data collection methods included written tests (mathematical problems) and interviews, then analyzed according to students' computational thinking indicators. The findings indicate that students with high intelligence use decomposition, pattern recognition, algorithmic thinking, and generalization and abstraction. Students with medium intelligence apply decomposition, pattern recognition, and algorithmic thinking, while students with low intelligence only use decomposition and algorithmic thinking when solving mathematical problems. © 2025 Author(s).
Mathematics Education Study Program, Universitas Negeri Surabaya, Surabaya, Indonesia; Data Science Study Program, Universitas Negeri Surabaya, Surabaya, Indonesia
