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Examining Multimodal Composing Processes with Generative AI

Posted by on Tuesday, July 16, 2024 in Uncategorized.

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.

How to Get Involved:

The Multimodal Composing team welcomes interdisciplinary collaborations that help us expand this work across contexts, content areas, and methodologies.

Multimodal Composing PI

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Blaine Smith
Associate Professor of the Practice, Teaching and Learning

Multimodal Composing Personnel

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Sarah Burriss
Postdoctoral Scholar, Institute for Software Integrated Systems, NSF EngageAI Insitute
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Melanie Hundley
Professor of the Practice, English Education
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Emily Pendergrass
Associate Professor of the Practice, Literacy, Reading Education
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Amanda Yoshiko Shimizu
Postdoctoral Fellow, University of Tennessee
 

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