Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships

📅 2026-04-08
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the challenge of scaling AI literacy education across society, which is hindered by a lack of cross-sectoral collaboration mechanisms. By integrating resources from research institutions, educational practitioners, and technology companies such as Google, the research employs qualitative methods—including comparative case studies, thematic workshops, expert commentary, and focus group dialogues—to systematically analyze diverse models of industry–academia–practice collaboration. It identifies critical inflection points, driving factors, and innovation opportunities throughout the collaboration lifecycle. Building on these insights, the study proposes a cooperative framework designed to foster mutual gains among stakeholders, offering actionable pathways and policy recommendations for cultivating a sustainable ecosystem for AI literacy education.
📝 Abstract
Enabling AI literacy in the general population at scale is a complex challenge requiring multiple stakeholders and institutions collaborating together. Industry and technology companies are important actors with respect to AI, and as a field, we have the opportunity to consider how researchers and companies might be partners toward shared goals. In this symposium, we focus on a collection of partnership projects that all involve Google and all address AI literacy as a comparative set of examples. Through a combination of presentations, commentary, and moderated group discussion, the session, we will identify (1) at what points in the life cycle do research, practice, and industry partnerships clearly intersect; (2) what factors and histories shape the directional focus of the partnerships; and (3) where there may be future opportunities for new configurations of partnership that are jointly beneficial to all parties.
Problem

Research questions and friction points this paper is trying to address.

AI literacy
industry partnerships
research collaboration
public education
stakeholder engagement
Innovation

Methods, ideas, or system contributions that make the work stand out.

AI literacy
industry-academia partnership
learning sciences
collaborative framework
educational equity
Victor R. Lee
Victor R. Lee
Associate Professor, Stanford Graduate School of Education
Learning SciencesAI LiteracyComputing EducationQuantified SelfData Science Education
M
Michael Madaio
Google Research
B
Ben Garside
Raspberry Pi Foundation
A
Aimee Welch
Google DeepMind Impact Accelerator
K
Kristen Pilner Blair
Stanford University
I
Ibrahim Oluwajoba Adisa
Stanford University
A
Alon Harris
Google Research
K
Kevin Holst
Google Research
L
Liat Ben Rafael
Google Research
R
Ronit Levavi Morad
Google Research
B
Ben Travis
Phantom LLC
B
Belle Moller
Phantom LLC
Andrew Shields
Andrew Shields
Toshiba Europe Ltd
quantum key distributionquantum communicationsquantum photonicsquantum cryptography
Z
Zak Brown
Phantom LLC
L
Lois Hinx
Phantom LLC
M
Marisol Diaz
Massachusetts Institute of Technology
E
Evan Patton
Massachusetts Institute of Technology
S
Selim Tezel
Massachusetts Institute of Technology
R
Robert Parks
Massachusetts Institute of Technology
H
Hal Abelson
Massachusetts Institute of Technology
A
Adam Blasioli
New York Jobs CEO Council
Jeremy Roschelle
Jeremy Roschelle
Executive Director, Learning Sciences, Digital Promise
mathematics educationlearning technologycomputer supported collaborative learninglearning scienceseducation