Computational thinking abilities of students with moderate and low logico-mathematical intelligence in solving Bebras task

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Kharisma Dwisinta Putri, Rini Setianingsih

2025 AIP Conference Proceedings Vol. 3316 Issue 1 Conference paper Cited by 0 SDG 4 Quartile

Abstract

Industrial Revolution 4.0 marked the development of science and technology. Minister of Education and Culture changed the 2013 Curriculum to Merdeka Belajar Kampus Merdeka. One of the skills that supports curriculum development in science and technology is computational thinking ability. Bebras tasks can be used to practice computational thinking. This research aims to describe the computational thinking abilities of students with moderate and low logico-mathematical intelligence in completing Bebras tasks. The research method is qualitative descriptive. Instruments in research are logico-mathematical intelligence tests, mathematical ability tests, computational thinking tasks, and interview guides. Data analysis through data condensation, data presentation, and conclusions. The subjects are students of class XI SMA Negeri 4 Kediri, one student with moderate and low logico-mathematical intelligence. The results show that students with moderate logico-mathematical intelligence can answer well but do not complete the problem decomposition indicator and have less understanding of questions, so has errors in calculations on the pattern recognition indicator. Meanwhile, student with low logico-mathematical intelligence writes information briefly and simply on the problem decomposition indicator but can explain the answers well on the pattern recognition indicator and writes the reason for the final conclusion in detail. Based on the result, researcher hopes that educators introduce Bebras tasks in mathematics learning to improve computational thinking ability. © 2025 Author(s).

Affiliations

Mathematics Education Study Program, Universitas Negeri Surabaya, Surabaya, Indonesia

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