Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships
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.
Keywords
Cite
@article{arxiv.2604.07601,
title = {Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships},
author = {Victor R. Lee and Michael Madaio and Ben Garside and Aimee Welch and Kristen Pilner Blair and Ibrahim Oluwajoba Adisa and Alon Harris and Kevin Holst and Liat Ben Rafael and Ronit Levavi Morad and Ben Travis and Belle Moller and Andrew Shields and Zak Brown and Lois Hinx and Marisol Diaz and Evan Patton and Selim Tezel and Robert Parks and Hal Abelson and Adam Blasioli and Jeremy Roschelle},
journal= {arXiv preprint arXiv:2604.07601},
year = {2026}
}