Projects
I build public, justice-centered projects at the intersection of higher education, equitable learning assessment, and critical approaches to AI. Each is an open invitation as much as a body of work — here’s what they are and where to go next.
The GOAL Framework
GoalFramework.org · Founder & Author, 2025–present
The Growth-Oriented Assessment for Learning (GOAL) Framework supports more just, transparent, and relational approaches to learning assessment. It synthesizes ungrading, specifications and labor-based assessment, Universal Design for Learning, trauma-informed pedagogy, and anti-oppressive teaching into a practical approach that treats assessment as a collaborative, equity-centered process rather than a tool for sorting or gatekeeping. It’s in active use by faculty across multiple institutions, and it anchors the workshop series and communities of practice I co-lead. If you’re a faculty member, department, or institution rethinking how you grade and how you think about learning assessment more broadly, this is a place to start.
AI for Faculty
AIforFaculty.com · Founder, 2025–present
AI for Faculty is a public resource for educators trying to make sense of AI in higher education without being rushed into adoption. It curates developments across three lenses — classrooms, campuses, and policy; tools and capabilities; and cautions and critiques — so faculty can engage AI critically, with their values intact. The premise is that “AI adoption” is not a technical efficiency problem but a question of ethics, accessibility, labor, and academic freedom. Disengagement isn’t a real option — AI is already woven through our students’ lives — but neither is uncritical adoption; faculty deserve a clear-eyed view that helps them support students inside the classroom and beyond, rather than a sales pitch.