California Education Learning Lab: AI Grand Challenge Grant

The California Education Learning Lab's AI Grand Challenge aims to fund innovative projects that harness AI to enhance teaching and learning outcomes. With a focus on intersegmental partnerships, the initiative supports four tracks, including essential disciplinary knowledge and optimizing student advancement. Grants ranging from $1.5 million over 24 to 42 months will empower educators to lead in AI development and application, ensuring equitable opportunities for student success.

NOTE:
Letter of Inquiry - This deadline represents when the Statement of Intent is due.Full Proposal -This deadline represents when the Self-Assessment and Proposal are due.The Response to Selection Committee Questions for Applicants and Institutional Cover Letters are due after the Full Proposal deadline.
AI Grand will support large-scale projects that empower faculty to be leaders in the development of AI use, understanding, and capability and enhance teaching and learning outcomes through intersegmental partnerships.
Project Tracks
Whether the focus is generative AI or AI generally, we invite submissions in four tracks:
Track 1: Essential Disciplinary Knowledge, Understanding, and Skills:In a world where AI may be able to surpass human performance in specific tasks, what core knowledge, understanding, or skills should higher ed (continue to) invest in, and how does this vary by discipline or CTE field? What foundational sequences of learning or skills still matter? What must students know or be able to do no matter how capable AI gets, and what new skills will they need to effectively leverage AI in their field?Track 2: Optimizing Teaching, Learning, and Student Advancement:AI is positioned to play a transformative role in course development, pedagogy, assessment, and opportunities for equitable participation and advancement. How can AI accelerate, optimize, or personalize the teaching, learning, or student advancement cycles? Generative AI lies and so do humans. How do you assess the accuracy or authenticity of answers from AI or humans? How do you learn from mistakes? How does that differ in disciplines dependent on correct or objective answers vs. variable or subjective answers? Are students and faculty comfortable with AIs that judge their work, and should they be?
Funding
Intend to award 3 to 6 grants, up to $1.5 million eachProject duration of 24 to 42 months