Making education equitable, accessible and effective using AI

Proposals should specifically cover one or more of the following topics:

• AI systems to improve student learning outcomes: Investigating practical and effective ways to bring learning-science infused AI to improve student learning outcomes in a wide range of academic disciplines and skill areas.

• Evaluating AI-based educational solutions: Exploring the design of methods to evaluate the pedagogical effectiveness of AI-supported educational experiences.

• Empowering teachers with AI: Examining how AI systems can support, empower and accelerate teacher's tasks in and outside of the classroom.

• Guidelines for complex historical narratives: Exploring how to develop AI models that can generate educational content able to address sensitive historical topics (slavery, colonialism, etc.) with diverse perspectives and cultural sensitivity.

• Accessibility tools: Investigating how AI-driven accessibility tools can be developed and implemented to create a more inclusive learning environment for students with disabilities.

• AI-facilitated collaboration and social-emotional learning development: Investigations into how to build AI-supported collaborative learning environments that effectively promote both academic achievement and social-emotional learning.

• Implementation for enhanced learning: Investigating how AI tools can be effectively implemented and scaled in educational systems to improve learning outcomes for all students.

Award amounts vary by topic up to $100K USD. However, we can consider larger grants for exceptional experimental proposals that demonstrate a clear and compelling rationale for the increased funding.

Funds will be disbursed as unrestricted gifts to the university and are not intended for overhead or indirect costs.

Eligibility

• Open to professors (assistant, associate, etc.) at a university or degree-granting research institution.

• Applicants may only serve as Principal Investigator (PI) or co-PI on one proposal per round. There can be a maximum of 2 PIs per proposal.

• Proposals must be related to computing or technology.

Proposals should consider the guidance outlined in our FAQ section.

• Faculty merit: Faculty is accomplished in research, community engagement, and open source contributions, with potential to contribute to responsible innovation.

• Research merit: Faculty's proposed research is aligned with Google Research interests, innovative, and likely to have a significant impact on the field.

• Proposal quality: The research proposal is clear, focused, and well-organized, and it demonstrates the team's ability to successfully execute the research and achieve a significant impact.

• AI ethics principles: The research proposal strongly aligns with Google's AI Principles.

Listed on GARA landing page.