Does Remote Learning Work?
We explore this complex question in two interviews today. First, Kasey Wagoner describes 3 approaches to remote lab sessions and an analysis of which was the most instrumental to students. Second, Tahiya Chowdhury shares insights about the specific features of video-conferencing platforms that are lacking in comparison to in-person learning.
Guests
Kasey Wagoner: Kasey and his group are interested in getting people excited about physics and helping them learn subject. They are focused on improving physics learning in settings ranging from classrooms to breweries. This effort is part of NC State’s Physics Education Research group.
Tahiya Chowdhury: I am an Assistant Professor of Computer Science and AI at Colby College. I am also a member of Davis institute for Artificial Intelligence, where I completed my Postdoctoral training with Prof. Amanda Stent as a Research Fellow. I received a Ph.D. in Computer Engineering at Rutgers University, where I worked with Prof. Jorge Ortiz as a member of Cyber Physical Intelligence Lab (CyPhILab) and WINLAB. I direct HUman, MAchiNe, and Environment Lab (HUMANE) lab, where I am fortunate to work with a group of amazing student collaborators on problems that are inspired by this broad question: How can human, machine, and the natural environment co-exist? My current work sits at the intersection of machine learning and human-computer interaction with a focus on human-centered tools and technology development. I use computational tools and models to understand conversations in our everyday social and professional settings. I also collaborate closely with community leaders, educators, and other stakeholders to develop computational solutions to support environmental sustainability and citizen science projects. My interest in human interaction and public-interest technology enables me to design innovative pedagogy and experiences to make AI education available to people with different backgrounds. My research goal is to design, develop and evaluate intelligent tools to facilitate fair, reliable, and transparent interaction between humans and machines.