Keynote Speakers

Robin Winsor

Monday, March 23

Robin Winsor

Robin Winsor is a highly influential visionary and executive in the technology field, who is known for being both a playful and provocative agent of change. Over the course of his extraordinary career, Robin invented the world’s first direct digital x-ray imaging device, and led a not-for-profit technology accelerator to become one of Canada’s most vocal champions for the digitally disadvantaged. He is widely sought after as a speaker on the future of technology.

Robin will be featured as our opening keynote speaker for the 2020 TxDLA annual conference. His talk is titled "School's Out - How AI Will Transform Teaching & Learning." Artificial intelligence and robotics are together enabling new capabilities in almost all fields of human endeavor. With the new capabilities comes both great promise but also massive disruption to how we work and learn. In this talk Robin will describe how AI fits into modern teaching models (not too well) and those of the distant past (perhaps much better). What does this mean for teachers and students in the 21st century and how can educators best adapt to their new roles alongside intelligent machines?

Klara Jelinkova

Tuesday, March 24

Klara Jelinkova

Klara Jelinkova is the Vice President for International Operations and IT and Chief Information Officer at Rice University. She arrived at Rice in January 2015 to advance the university’s strategic goals through sound information technology investments. She is responsible for strategic technology issues ranging from governance, policy and resource allocation to protocol and organization as well as operational issue connected to Rice’s global footprint and interest.

Klara will be featured as our second keynote speaker with her presentation titled, "Privacy, Security, Decision Making. Oh my!". In this interactive keynote session, participants will discuss how emerging technological changes enable new student focused modalities of teaching. We will specifically focus on opportunities and challenges presented by AI enabled personalized learning versus historical cohort learning. We will look at the issue from four lenses: (1) functionality, (2) privacy and security, (3) analytics and decision support, (4) implications for educational research and pedagogy.