Development of Practical Data-Based Visualization Models Using the Streamlit Framework in Thermodynamics Learning

Thermodynamics is a branch of physics that explores the relationship between heat, energy, and work within systems. However, students often find it challenging to grasp due to its abstract and complex nature. This study aims to develop a data-driven visualization application to enhance students' understanding of thermodynamic concepts through interactive and visual learning. The research follows the ASSURE instructional design model, which includes analyzing learners, setting objectives, selecting appropriate methods and materials, utilizing media, encouraging active participation, and evaluating outcomes. The application was validated by experts and tested for practicality with students enrolled in thermodynamics courses. The findings indicate that the application is effective in improving engagement, ease of use, and conceptual understanding. These results highlight its potential to enhance thermodynamics education in higher learning institutions by integrating technology-driven learning tools.