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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.07601 |
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| _version_ | 1866913018203340800 |
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| author | Lee, Victor R. Madaio, Michael Garside, Ben Welch, Aimee Blair, Kristen Pilner Adisa, Ibrahim Oluwajoba Harris, Alon Holst, Kevin Rafael, Liat Ben Morad, Ronit Levavi Travis, Ben Moller, Belle Shields, Andrew Brown, Zak Hinx, Lois Diaz, Marisol Patton, Evan Tezel, Selim Parks, Robert Abelson, Hal Blasioli, Adam Roschelle, Jeremy |
| author_facet | Lee, Victor R. Madaio, Michael Garside, Ben Welch, Aimee Blair, Kristen Pilner Adisa, Ibrahim Oluwajoba Harris, Alon Holst, Kevin Rafael, Liat Ben Morad, Ronit Levavi Travis, Ben Moller, Belle Shields, Andrew Brown, Zak Hinx, Lois Diaz, Marisol Patton, Evan Tezel, Selim Parks, Robert Abelson, Hal Blasioli, Adam Roschelle, Jeremy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_07601 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships Lee, Victor R. Madaio, Michael Garside, Ben Welch, Aimee Blair, Kristen Pilner Adisa, Ibrahim Oluwajoba Harris, Alon Holst, Kevin Rafael, Liat Ben Morad, Ronit Levavi Travis, Ben Moller, Belle Shields, Andrew Brown, Zak Hinx, Lois Diaz, Marisol Patton, Evan Tezel, Selim Parks, Robert Abelson, Hal Blasioli, Adam Roschelle, Jeremy Computers and Society Artificial Intelligence 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. |
| title | Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2604.07601 |