TEACHING COMPUTATIONAL THINKING SKILLS ON LINEAR EQUATION IN ONE VARIABLE TOPIC

• Main Author: Ester M Sihotang, Rebecca
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/77642
• Institution: Institut Teknologi Bandung

This research explores the learning of computational thinking skills through mathematics instruction, particularly emphasizing linear equations in one variable. Computational thinking skills, which include problem-solving methods derived from computer science principles such as pattern recognition, abstraction, and algorithm design, can improve students' understanding and application of mathematical concepts and procedures. The research utilized a design research methodology that included an initial design phase, design experiments, and retrospective analysis. The initial design phase involved the development of a learning trajectory following a literature review and expert consultation. The design experiments phase tested the learning trajectory in a classroom setting at a public school in the Banyuasin Regency. The retrospective analysis phase evaluated data collected from the design experiments and refined the learning trajectory. The data sources comprised students' activity sheet responses, recordings, and interview results. A qualitative data analysis was carried out using data triangulation and member checking. The study found that participating in activities that involve pattern recognition, abstraction, and algorithm design can improve students' computational thinking skills. The results of a test taken after the learning process showed an enhancement in the students' computational thinking skills, which was further supported by interviews where students demonstrated their ability to articulate their thoughts effectively. This research highlights the potential of integrating mathematics and informatics education, especially for students unfamiliar with computers. However, factors such as time constraints and material availability could impact the generalizability and applicability of the findings. This study confirms that computational thinking skills can be improved through mathematics education focused on linear equations in one variable. Educators are suggested to develop mathematics learning trajectories that enhance computational thinking skills across multiple topics and student levels. Further research could investigate computational thinking skills in other domains, contexts, and methods for their measurement and improvement.