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Faculty Candidate Research Presentation: Caleb Vatral

March 21 @ 11:45 am 12:30 pm

Faculty Candidate Research Presentation
In-person in Suite 260 large classroom or Virtual via teams

“From Blackboards and Bedsides to Bytes and Bots: Transforming Education and Training Through Human-AI Teaming”

Caleb Vatral
Ph.D. candidate
Department of Computer Science, Vanderbilt University


Caleb Vatral is a Ph.D. candidate at Vanderbilt University in the Department of Computer Science with a focus in intelligent systems. Drawing from theories of distributed cognition and experiential learning science and combining them with research methodologies from user-centered participatory design and computational techniques from multimodal learning analytics, Caleb’s research focuses on how to improve adult education and training through the integration of AI technologies. In their dissertation, they have applied these interdisciplinary research methods to improving debriefing processes in simulation-based healthcare education. By focusing on the strengths of both humans and AI systems, how these strengths can complement one another to build new capabilities, and how these capabilities can be designed and integrated into teaching with a strong emphasis on stakeholder needs and desires, Caleb’s work aims to build sustainable human-AI teaming in educational contexts. 

School of Applied Computational Sciences

3401 West End Avenue, Suite 260
NASHVILLE, TN 37203 United States