5G-OH, CSE, TDAI Talk Featuring Dr. David Joyner: Towards a Distributed Learning Model for Teaching at Scale

Posted: July 21, 2023

Distinguished Guest Speaker: Dr. David Joyner, Executive Director of Online Education & OMSCS in Georgia Tech's College of Computing, will present "Towards a Distributed Learning Model for Teaching at Scale," an approach to expanding access to college education, and an exploration of the different challenges that come when attempting to teach more students through new technologies.

Picture of David Joyner

Sponsored by the 5G and Broadband Connectivity Center (5G-OH), the Department of Computer Science and Engineering (CSE),  and the Translational Data Analytics Institute (TDAI).

 

Date/Time: Tuesday, Aug. 1, 2023 at 10 AM Eastern Time (US and Canada) 

 

Location: 320 Pomerene Ideation Zone (1760 Neil Ave. Columbus, Ohio 43210) 

 

Abstract: In the wake of both new technologies and new demand for lifetime learning, new approaches are necessary for expanding access to college education. In this talk, Dr. David Joyner will explore two of these ideas: the first, the distributed classroom, is an approach to leveraging existing offerings and new technologies to reduce barriers to entry and reduce costs in order to expand access to new populations. The second, teaching at scale, is an exploration of the different challenges that come when attempting to teach more students through new technologies, coupled with the observation that many of these challenges are actually opportunities to improve the learning experience for all participants. 

 

Bio: David Joyner is Executive Director of Online Education & OMSCS in Georgia Tech's College of Computing. His research focuses on online education and learning at scale, especially as they intersect with for-credit offerings at the graduate and undergraduate levels. His emphasis is on designing learning experiences that leverage the opportunities of online learning to compensate for the loss of synchronous collocated class time. This includes leveraging artificial intelligence for student support and assignment evaluation, facilitating student communities in large online classes, and investigating strategies for maintainable and interactive presentation of online instructional material. As part of his work, Joyner teaches online versions of CS6460: Educational Technology, CS6750: Human-Computer Interaction, CS7637: Knowledge-Based AI, and CS1301: Introduction to Computing. He is also Vice-Chair of the Steering Committee for the ACM Learning @ Scale conference, as well as the General Chair for the 2019 and 2020 conferences. 
 
Joyner has received several awards for his work in teaching online, including the 2019 USG Regents' Teaching Excellence Award for Online Teaching, 2018 Georgia Tech Center for Teaching & Learning Curriculum Innovation Award, and the 2016 Georgia Tech College of Computing Lockheed Excellence in Teaching Award. He was also named to the Georgia Tech Alumni Association's 40 Under 40 in 2022.  

 

Hosts:  

  • The 5G and Broadband Connectivity Center (5G-OH) seeks to deliver curriculum, research innovation, and workforce development solutions through their activities across Ohio State; the Center combines activities from Computer Science and Engineering, Electrical Engineering, the Ohio Education Research Center, and the Center on Education and Training and Employment to inform industry and government in the 5G/Broadband space. 

  • The Department of Computer Science and Engineering (CSE), offering undergraduate and graduate degrees, is part of The Ohio State University’s graduate engineering program ranked 26th in the nation by the U.S. News & World Report. Ohio State’s graduate computer science program is also ranked 24th nationally. Ohio State’s College of Engineering graduate and undergraduate programs are ranked first in Ohio and 14th and 15th respectively among public universities. 

  • The Translational Data Analytics Institute brings together Ohio State faculty and students with industry and community partners to create interdisciplinary, data-intensive solutions to grand challenges.