Workshop

AI+Education Summit: AI in the Service of Teaching and Learning

A daylong summit on how AI can be used to advance human learning through new pedagogies, new modalities of assessment, new foundational models, and more. 

Event details

Wednesday, February 15th 2023
09:00 AM—05:00 PM PT
LocationStanford University
Available toFaculty / Staff, Alumni / Friends
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Summit Overview

This summit will showcase the latest research in AI & education from Stanford faculty and researchers, examining how AI can be used to advance human learning through new pedagogies, new modalities of assessment, new foundational models, and more. In doing so, the summit will ask the question of how AI can transform teaching and learning in an ethical, equitable, and safe manner.

This event is co-sponsored by Stanford HAI and the Stanford Accelerator for Learning.


In-Person Registration

The summit is by invitation-only as space is very limited. If you are a Stanford affiliate interested in AI+Education and would like to request an invitation to attend, please let us know.

Virtual Information

This event will not be live-streamed for viewing, however there will be select recorded materials available post-event. If you are interested in receiving recordings of the event, please click here to sign up. To receive information about the Stanford Accelerator for Learning, please sign up here.

 


Agenda

8:30 am
to 9:00 am
Registration Open
9:00 am
to 9:10 am
Welcome and Introduction
Senior Manager of Research Communities, Stanford Institute for Human-Centered AI (HAI)
9:10 am
to 9:30 am
Is AI the Future of Education?
I. James Quillen Dean, Halper Family Director of the Stanford Accelerator for Learning, and the Nomellini & Olivier Professor of Educational Technology at Stanford Graduate School of Education, Stanford University
9:30 am
to 10:30 am
Generative AI for Education

How will AI models that can generate text, images, audio, video and code change what students need to learn and the instructional processes that guide their learning? Do we need generative models designed specifically for educational purposes?

Assistant Professor of Education Data Science, Stanford University
Associate Professor of Psychology, of Computer Science and by courtesy of Linguistics, Stanford University

Percy Liang

Director, Center for Research on Foundation Models; Associate Professor of Computer Science, Stanford University

10:30 am
to 11:00 am
Roundtable Group Discussions
11:00 am
to 11:15 am
Break
11:15 am
to 12:00 pm
Envisioning AI Enriched Classrooms

How will AI enriched classrooms be different from those in today’s schools? How will AI change the roles of teachers and the interactions among teachers, students, and learning resources? How will we be able to determine whether AI is being used effectively to enhance teaching and learning?

Professor of Teacher Education, Stanford Graduate School of Education
Associate Professor of Computer Science; Associate Professor (By courtesy), Graduate School of Education; Faculty Affiliate, Stanford Institute for Human-Centered AI (HAI)
Assistant Professor of Computer Science, Stanford University; Faculty Affiliate, Stanford Institute for Human-Centered AI (HAI)
Moderator

Candace Thille

Assistant Professor of Education, Stanford Graduate School of Education; Senior Research Fellow, Office of the Vice Provost for Online Learning

12:00 pm
to 12:30 pm
Roundtable Group Discussions
12:30 pm
to 1:15 pm
Lunch
1:15 pm
to 2:00 pm
Stanford - EdTech Collaborations for Impact

How can Stanford researchers partner with education and technology companies to develop and evaluate innovative AI applications that will reach many students and educators? How can the research and business expertise and roles complement each other to achieve shared goals?

Co-Founder and CEO, MainStay
Founder and CEO, TeachFX
Moderator

Isabelle Hau
Executive Director, Stanford Accelerator for Learning

2:00 pm
to 3:00 pm
Thematic Brainstorming Discussion Groups (Round 1)

Event attendees will have the opportunity to brainstorm and collaborate in nine different areas of research within AI & education (listed below). Each breakout group will be one of the nine themes, with discussions being facilitated by Stanford faculty. There will be two rounds, giving event attendees the chance to have a discussion in two different focus areas.


Nine Research Topics:

  • Creativity and AI
  • NLP and Education
  • Equity
  • Teaching AI; AI Literary
  • Learning differences and AI
  • Learning beyond schools and AI
  • Computer vision, image editing, and education
  • How could AI be detrimental to students and teachers?
  • AI and the Workforce: New precision for pathways in education and work
3:00 pm
to 3:15 pm
Break
3:15 pm
to 4:15 pm
Thematic Brainstorming Discussion Groups (Round 2)

Event attendees will have the opportunity to brainstorm and collaborate in nine different areas of research within AI & education (listed below). Each breakout group will be one of the nine themes, with discussions being facilitated by Stanford faculty. There will be two rounds, giving event attendees the chance to have a discussion in two different focus areas.


Nine Research Topics:

  • Creativity and AI
  • NLP and Education
  • Equity
  • Teaching AI; AI Literary
  • Learning differences and AI
  • Learning beyond schools and AI
  • Computer vision, image editing, and education
  • How could AI be detrimental to students and teachers?
  • AI and the Workforce: New precision for pathways in education and work
4:15 pm
to 5:00 pm
Realizing the Potential and Mitigating the Risks of AI for Education

How can we optimize the potential of AI, as well as mitigate the concerns about biases, inequities, misinformation, deepfakes, security, privacy and misuses of AI in order to fairly, safely, and productively use AI for teaching and learning? How can we prepare educators, parents and students to understand the potential and address these risks?

Founder and CEO, Khan Academy
Moderator

John Mitchell
Mary and Gordon Crary Family Professor; Professor of Computer Science, and (By courtesy) Professor of Electrical Engineering; Professor of Education, Stanford University

5:00 pm
Closing Remarks
5:15 pm
to 6:15 pm
Reception