Her research with an interdisciplinary team has most recently been applied to workforce learning contexts including first responder team-based live simulation training complemented with artificial intelligence instructional support systems as well as supports her current work conceptualizing support for persons with disabilities in leveraging smart building and wearable technology systems for optimal decision making in emergency situations. Bannan also co-leads the Center for Advancing Human-Machine Partnerships (CAHMP) at GMU that supports transdisciplinary research related to complex human-machine partnerships with automated, artificial intelligence with autonomy striving toward integration of this technology with human systems in the most appropriate, ethical and trusting ways. Working on these efforts across multiple workforce learning contexts, Dr. This reciprocal cycle positions computational systems as intelligent observers with insights from AI-infused and processed sensor-based data typically from Internet of Things (IoT) devices that generate behavioral analytics to inform the human system which then can adapt to take action to promote learning across both systems. Bannan’s current work centers on leveraging emerging technologies, learning science, user experience design, design research and human-machine partnerships to inform both the human system and the smart technology system. Brenda Bannan is a Professor in the Division of Learning Technologies and the Learning Technology Design Research Doctoral Program in the College of Education and Human Development at George Mason University (GMU) in Fairfax, Virginia.ĭr. Bachelor’s / Accelerated Master’s ProgramsĬollege of Education and Human Development Home Expand/Collapse Global Navigationĭr.
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