Abstract Number:
1426
Submission Type:
Invited Panel Session
Participants:
Sahar Zangeneh (1), John McGready (3), Herle McGowan (4), Ali Shojaie (5), Rebecca Andridge (6), Sahar Zangeneh (1), Brady West (7), Laila Poisson (2)
Institutions:
(1) RTI International, N/A, (2) N/A, N/A, (3) Johns Hopkins Bloomberg School of Public Health, N/A, (4) North Carolina State University, N/A, (5) University of Washington, N/A, (6) The Ohio State University, N/A, (7) Institute for Social Research, N/A
Chair:
Panelist(s):
Session Organizer:
Session Description:
Online instruction has been in place for over four decades. However, the COVID-19 pandemic made online learning integral to mainstream higher education. Despite its many challenges and lack of personal interactions, online courses can offer more affordable and equitable learning opportunities for broad audiences, including working professionals. However, with the advent of open-source software and generative artificial intelligence (AI), "knowledge" can also be acquired outside of a classroom, raising new dilemmas of (1) determining what key concepts and competencies must be emphasized in the classroom, and (2) how online instruction can differentiate itself from the abundant educational resources that can be freely accessed online. This panel brings together five educators with diverse experience in developing curriculum and teaching diverse non-statistical audiences using various modalities and targeting different audiences. Panel members will discuss challenges and opportunities and try to reach consensus on providing recommendations for curriculum development.
Chair: Laila Poisson (she/her) is a Research Professor and vice chair of the department of biostatistics and epidemiology at Michigan State University. Dr. Poisson firmly believes in the integration of data and science and has focused my career on collaborative projects and on making data accessible through sharing, mentoring and education.
John McGready (he/him) is a Senior Scientist (non-tenured Professor) in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He has taught 1,000s of students using various modalities and served as a co-advisor on multiple PhD dissertations, and serves on the Master of Public Health (MPH) program executive board.
Herle McGowan (she/her) is a Teaching Professor in the Department of Statistics at North Carolina State University and the current Chair of the NC State Faculty Senate. She has over 15 years of teaching experience, including development and redesign of both hybrid and asynchronous online courses.
Ali Shojaie (he/him) is a Professor of Biostatistics at the University of Washington in Seattle and the founding director of the Summer Institute in Statistics for Big Data (SISBID), which has been online since 2020. He has advised 14 PhD students and developed curriculum for several new courses in Statistics and Data Science at UW, nationally, and internationally.
Rebecca Andrige (she/her) is an Associate Professor of Biostatistics at the Ohio State University College of Public Health. She has developed curriculum and taught extensively including formal courses, short courses, and tutorials using various modalities. She received OSUs Excellence in Teaching Award in 2011 and the Mentoring Faculty award in 2018.
Sahar Zangeneh (she/her) is a Senior researcher at RTI International and Clinical Instructor at University of Washington School of Public Health. She has over 20 years of quantitative teaching experience to demographically diverse audiences. Most recently, she co-developed an integrated biostatistics/epidemiology course for UWs online Master of Public Health program.
Brady West (he/him) is a Research Professor in the Survey Methodology Program at the University of Michigan Institute for Social Research. He teaches graduate and undergraduate courses and offers workshops and seminars both nationally and internationally and is the faculty director of the JPSM Junior Fellows program.
Sponsors:
Advisory Committee on Continuing Education 3
Section on Statistics and Data Science Education 2
Section on Teaching of Statistics in the Health Sciences 1
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Medium (80-150)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand