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

Status
Past
Date
Wednesday, February 15, 2023 9:00 AM - 5:00 PM PST/PDT
Location
Stanford University
Overview
Agenda
Speakers
Event Recordings
Overview
Agenda
Speakers
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Event Contact
Kaci Peel
kpeel@stanford.edu

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8:30am PST

Registration Open

Starting at 8:30am

9:00am PST

Welcome and Introduction

9:10am PST

Is AI the Future of Education?

9:20am PST

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?

10:20am PST

Roundtable

Group Discussions 

10:50am PST

Break

15 minutes

11:05am PST

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?

11:50am PST

Roundtable

Group Discussions

12:20pm PST

Lunch

35 minutes

1:00pm PST

Seed Grant Program Announcement

1:05pm PST

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?  

2:00pm PST

Thematic Brainstorming Discussion Groups (Round 1)

Event attendees will have the opportunity to brainstorm and collaborate in eight different areas of research within AI & education (listed below). Each breakout group will be one of the eight 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.

Research Topics:

  1. Creativity and AI

  2. NLP and Education

  3. Equity 

  4. Teaching AI; AI Literacy

  5. Learning differences and AI

  6. Learning beyond schools and AI

  7. How could AI be detrimental to students and teachers?

  8. AI and the Workforce: New precision for pathways in education and work 

3:00pm PST

Break

15 minutes

3:15pm PST

Thematic Brainstorming Discussion Groups (Round 2)

Event attendees will have the opportunity to brainstorm and collaborate in eight different areas of research within AI & education (listed below). Each breakout group will be one of the eight 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.

Research Topics:

  1. Creativity and AI

  2. NLP and Education

  3. Equity 

  4. Teaching AI; AI Literacy

  5. Learning differences and AI

  6. Learning beyond schools and AI

  7. How could AI be detrimental to students and teachers?

  8. AI and the Workforce: New precision for pathways in education and work 

4:15pm PST

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?

5:00pm PST

Closing Remarks

5:00pm PST

Reception

Speakers
Isabelle Hau
Executive Director, Stanford Accelerator for Learning
Ahmad Rushdi
Director of Industry Programs
Speakers
Daniel Schwartz
I. James Quillen Dean, Stanford Graduate School of Education, Nomellini & Olivier Professor of Educational Technology, The Halper Family Faculty Director of the Stanford Accelerator for Learning
Speakers
Dora Demszky
Assistant Professor of Education Data Science, Stanford University
headshot
Noah Goodman
Associate Professor of Psychology, of Computer Science, and by courtesy, of Linguistics
Percy Liang
Percy Liang
Associate Professor of Computer Science, Stanford University | Director, Stanford Center for Research on Foundation Models | Senior Fellow, Stanford HAI
Moderator
Rob Reich
Rob Reich
McGregor-Girand Professor of Social Ethics of Science and Technology | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Education and of Philosophy | Senior Fellow, by courtesy, at Freeman Spogli Institute for International Studies
Speakers
Bryan Brown
Professor of Teacher Education, Stanford Graduate School of Education
Emma Brunskill
Associate Professor of Computer Science, Stanford University | Associate Director, Stanford HAI
Sarah Levine
Assistant Professor, Stanford Graduate School of Education
Moderator
Candace Thille
Associate Professor (Teaching), Graduate School of Education, Stanford University
Speaker
Victor R. Lee
Associate Professor of Education, Stanford University; Faculty Affiliate, Stanford HAI
Speakers
Ran Liu
Chief AI Scientist, Amira Learning
Andrew Magliozzi
Co-Founder and CEO, Mainstay
Jamie Poskin
Founder and CEO, TeachFX
Moderator
Isabelle Hau
Executive Director, Stanford Accelerator for Learning
Speakers
Sal Khan
Founder and CEO, Khan Academy
Chris headshot
Christopher Piech
Assistant Professor of Computer Science, Stanford University; Faculty Affiliate, Stanford HAI
Moderator
John Mitchell
Mary and Gordon Crary Family Professor, Professor of Computer Science and, by courtesy, Electrical Engineering
Speaker
Daniel Schwartz
I. James Quillen Dean, Stanford Graduate School of Education, Nomellini & Olivier Professor of Educational Technology, The Halper Family Faculty Director of the Stanford Accelerator for Learning