This research examines how educational assessment systems can become more just, inclusive, and culturally relevant. Using participatory action research, it proposes a five-step framework emphasizing community collaboration, anti-racist assessment design, continuous revision, and student-centered approaches that prioritize equity, engagement, identity, and educational justice over standardized measurement alone.

This research introduces a 4C framework for designing assessments in the age of generative AI: collaboration, critique, content disclosure, and confirmation. Based on mixed-methods research with instructors, it offers a flexible alternative to linear AI-use models, helping educators evaluate student work while adapting to rapidly evolving AI technologies.