Development of RBL-STEM Learning Materials to Improve Students' Computational Thinking Skills

Abstract

This study aims to develop a Research-Based Learning in Science, Technology, Engineering, and Mathematics (RBL-STEM) based learning material designed to improve students' computational thinking skills in solving Strong Rainbow Antimagic Coloring (SRAC) problems in river erosion. This learning material combines systematic research methods with the STEM approach, providing an immersive and applicable learning experience. The material development used the Research and Development (RnD) model to ensure its validity, effectiveness and practicality. The pilot test was conducted on Bachelor of Mathematics Education at one of the universities in Probolinggo, namely Zainul Hasan Genggong Islamic University. Data were collected through a validity sheet, learning implementation sheet, student activity observation sheet, questionnaire sheet, and pretest-posttest sheet of computational thinking skills. Furthermore, the effectiveness was analyzed using quantitative (t-test) and qualitative analysis (using Nvivo). The results showed that the use of this RBL-STEM material significantly improved students' computational thinking skills. The learning material showed 95% validity criteria, 92.5% practicality, and 90% effectiveness. Participating students demonstrated improved skills in data analysis, computer simulation, and complex problem solving related to river erosion using the SRAC concept. And, students also reported increased motivation and engagement in the learning process. The conclusion of this study is that the RBL-STEM material is effective and practical in developing students' computational thinking skills, while preparing them to face technical challenges in the real world. The wider implementation of this material is expected to support the development of a higher education curriculum that is more innovative and relevant to the needs of industry and the environment.