Faculty Technology Day 2023 Videos

Faculty Technology Day 2023 took place Wednesday, May 24th, at the Law School, Lincoln Center. The theme was AI and the Future of Education.

video by Rebecca Rosen via Fordham University News

Below are some presentations from the day, including our keynote sessions. All conference videos and resources are shared on our site: Fordham.edu/FTD.

Opening Remarks

Fleur Eshghi, Ed.D. (Associate Vice President, Education Technology and Research, Fordham University)

Anand Padmanabhan, M.S., M.B.A. (Vice President and C.I.O., Fordham University)

Tania Tetlow, J.D. (President, Fordham University)

Dennis C. Jacobs, Ph.D. (Provost and Senior Vice President for Academic Affairs, Professor of Chemistry, Fordham University)

Falguni Sen, Ph.D. (President of the Faculty Senate; Professor, Strategy and Statistics, Gabelli School of Business, Fordham University)

Keynote Sessions

AI and Education

Daniel Susskind, Ph.D. (Research Professor in Economics at King’s College London; Senior Research Associate, Institute for Ethics in AI, Oxford University)

In the future, the education profession will look remarkably different from today, and we will neither need nor want teachers – or doctors, lawyers, architects, accountants, engineers, consultants, and many other professionals – to work as they did in the 20th century. In this pragmatic and optimistic talk, Susskind explains why, and sets out how the education profession can prepare to flourish in decades to come.

Grades in the Machine, the Intersection of Machine Learning and Human Assessment

Charles Lang, Ed.D. (Senior Executive Director & Coterminous Professor, Teachers College, Columbia University)

In the classroom, excitement and trepidation have grown about how specific tools might augment or subvert educational aims while on the societal level, it is unclear what aspects of human cognition will remain unique to humans. At the intersection of these concerns lie questions of assessment and what it means to build representations of the inner workings of both humans and machines. How and why we build these representations may lead us to strange and unrecognizable futures.

Developing Teaching Expertise through AI

Rhonda Bondie, Ph.D. (Associate Professor Hunter College, Lecturer Harvard Graduate School of Education),

Akane Zusho, Ph.D. (Professor, Fordham Graduate School of Education), and

Bill Ferster, Ph.D. (Former Research Professor, University of Virginia) (via Zoom)

New immersive technologies powered by artificial intelligence, machine learning, and natural language processing enable us to provide personalized and differentiated teaching practice. For example, research demonstrates that high-quality teacher feedback leads to increased student learning (and possibly better course evaluations, too). Could we use AI to improve teacher feedback? We will share findings from our current research and engage the audience in a live demo of our virtual classroom powered by artificial intelligence. We will explore how open-source technology can be used to create a data-rich teacher training tool and explore opportunities and limitations of AI-supported teaching practice. Most importantly, we will share our framework for supporting in-the-moment feedback that can be used immediately with students or colleagues.