Examining Multimodal Composing Processes with Generative AI
The question of how generative Artificial Intelligence (AI) will reshape communication is causing questions and concerns across the field of education, particular literacy and writing classrooms. This work builds upon this developing field by exploring how preservice teachers in literacy education courses multimodally compose with generative AI and their perspectives on the use of AI in the classroom. Data sources include screen capture and video observations, design interviews, surveys, and multimodal products (e.g., videos, visuals, music, etc.). Through qualitative and multimodal analysis, our team seeks to better understand multimodal composing processes with generative AI, including how meaning-making and creativity are shaped by AI tools. This work is also focused on exploring best practices for scaffolding AI in the classroom and the ethical considerations educators grapple with when integrating new tools.