Tuesday, February 25th, 20253:00 pm – 4:00 pm ET
Presented by: Dr. Jaya Satagopan (moderator) (Rutgers University), Dr. Christine Arcari (Tulane University), Dr. Justin Post (North Carolina State University), Dr. Juan (Jay) Klopper (The George Washington University)
Abstract
PANELISTS: Dr. Jaya Satagopan, Rutgers School of Public Health, Rutgers University (moderator)
Dr. Christine Arcari, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University
Dr. Justin Post, Department of Statistics, North Carolina State University
Dr. Juan (Jay) Klopper, Milken Institute School of Public Health, The George Washington University
DATE/TIME: Tuesday, February 25, 2025, 3:00pm Eastern Time (US & Canada)
VENUE: Online webinar hosted using the Zoom platform
ABSTRACT: In this dynamic panel webinar, explore how artificial intelligence (AI) could revolutionize the way statistics is taught in health sciences. From automating data simulations and creating adaptive learning environments to leveraging generative AI tools for personalized education, this session discusses methods to enhance both teaching efficiency and student engagement. Discussion topics will include: utilizing AI to design interactive statistical visualizations, automating repetitive tasks like data cleaning in student projects, implementing generative AI to support self-paced learning, and addressing ethical considerations and biases in AI-driven education tools. This webinar is ideal for educators, researchers, and professionals in health sciences who are curious about integrating AI to enrich their teaching practices.
REGISTRATION: To register for the webinar, please complete this form:
https://uniofqueensland.syd1.qualtrics.com/jfe/form/SV_77BxwrhuXvi8Z7g
We will send the Zoom link for the webinar to your email address the day before the webinar.