AI Research Catalyst Fund Awardees Virtual Seminar Series

“Research and Development for Fair AI in Education through Supercomputing“

by Dr. Wanli Xing,  Assistant Professor, School of Teaching & Learning

Wednesday, March 23, 2022

ABSTRACT:

Educational researchers have extensively investigated artificial intelligence (AI) in learning environments to provide teachers and students with actionable intelligence, ranging from computer vision for automatic content extraction in videos to natural language processing for sentiment analysis in discussion forums. However, little has been done to examine the fairness of these AI applications. In this talk, I will demonstrate our recent works on constructing fair, effective, reusable, and scalable AI applications in education with supercomputing. Meanwhile, I will share our cyberinfrastructure based on deep learning with giant model weights (e.g., RoBERTa with 355 million parameters and GPT-2 with 1.5 billion parameters) that can provide fair and impressive base performance for further AI research and development particularly in math learning contexts.

Bio:

Wanli Xing is an assistant professor of educational technology in the UF College of Education. His research focuses on understanding the basic learning processes in technology-mediated STEM and online learning environments, creating the of next generation educational technologies powered by learning analytics and artificial intelligence (AI), and AI and data science workforce development. He pursues the research program primarily through the methodological framework of machine learning, data mining, and design-based research.  His research has been extensively funded by NSF, IES, and private foundations. Dr. Wanli Xing received his PhD in Information Science & Learning Technologies from University of Missouri.

Wednesday, Mar. 23, 2022
12:00PM – 1:00PM
Via Zoom

RSVP below. Instructions to attend talk via Zoom will be emailed to you.