Title: Designing for Learner Engagement with Instructor Avatars in AI-Produced MOOC Videos
Abstract:
Artificial intelligence (AI) tools now enable the rapid creation of highly realistic instructional videos that can appear “indistinguishable from real humans”, yet the pedagogical implications of doing so remain underexplored. Dr. Rebecca Quintana has been experimenting with emerging AI-authoring tools to produce instructional videos for the Generative AI as a Learning Design Partner course series, aiming to support ongoing course iteration and boost learner engagement. This project takes an experimental, design-oriented approach to understanding how learning designers can meaningfully evaluate and leverage these tools while carefully considering instructional design principles, pedagogical transparency, and learner experience.
In this presentation, Rebecca and Annie share their experiences designing, prototyping, and testing AI-produced instructional videos for Massive Open Online Courses (MOOCs).
The presentation provides an early examination of the design exploration of AI-produced instructional videos, focusing on:
- Motivation for exploring AI-produced instructional videos
- Emerging creative processes guiding design decisions and experimentation
- Rapid prototyping methods enabling iterative video refinement and testing
- Strategies for addressing pedagogical transparency
- Learner perceptions and reflections on AI-produced instructional videos within MOOCs
By presenting this work, Rebecca and Annie aim to contribute to the broader conversation regarding the pedagogical transparency and ethical considerations of AI in education, providing practical insights for designers and educators interested in the thoughtful integration of emerging technologies.
