|
^Exploring Pre-Service Physics Teachers^ Visual Conceptions of Solar Cells through Generative AI: A Narrative Representation Approach a. Department of Science Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi No. 229 Bandung 40154 Abstract Developing future science teachers^ capacity to teach complex socio-scientific issues is critical for achieving global sustainability goals. This study investigates how Generative Artificial Intelligence (Gen AI) can support pre-service physics teachers in constructing and communicating visual conceptions of climate change and renewable energy solutions, focusing on Dye-Sensitized Solar Cells (DSSC). Conducted with 24 undergraduate students enrolled in a modern physics course, the intervention integrated STEM-ESD-oriented lectures, DSSC hands-on experiments, and AI-based visual representation tasks. Data sources included AI-generated images, student narratives, and focus group interviews, analyzed using qualitative thematic coding and semiotic analysis. Results show that Gen AI facilitated students^ ability to visualize energy conversion mechanisms, link climate change causes and effects with technological solutions, and engage in deeper reflective reasoning. However, inconsistencies between scientific models and students^ depictions persisted, suggesting the need for scaffolding AI use in teacher education. The study demonstrates how combining sustainability-driven physics education with Gen AI can enhance conceptual understanding, visual literacy, and pedagogical preparedness to teach climate-energy issues. Keywords: Generative AI- Climate Change Education- Solar Cells- STEM-ESD Literacy- Physics Teacher Education- Visual Representation- Topic: Physics and Physics Education |
| MSCEIS IWALS 2025 Conference | Conference Management System |