Artificial intelligence (AI) can transform preservice teacher education by generating personalized, multimodal content for science and engineering instruction. This study explores GPT Smashing, an innovative approach that combines multiple generative AI models (e.g., GPT-4, GPT-4V, and domain-specific tools) to create rich instructional materials. By integrating text, visuals, diagrams, and interactive elements, GPT Smashing supports deeper understanding, enhances lesson design, and fosters creativity. Unlike single-model AI tools, this method empowers preservice teachers to visualize, adapt, and engage with complex concepts, promoting both personalized learning and instructional agency.
TAKEAWAYS:
Experience GPT Smashing through a live, hands-on demo using a "blueprint" scenario. Create multimodal lessons, explore AI visuals, and design classroom demos. Leave with practical tools to boost creativity, agency, and engagement in science and engineering education.
SPEAKERS:
Ricardo Lumbreras, Gwinn North