#1407: Re-envisioning Assessment Challenges and Opportunities in the Generative AI Era through CSCL

Assessment in higher education faces unprecedented challenges, as generative AI now enables students to produce polished assignments in seconds. Many institutions have responded by reverting to pen‑and‑paper exams, a solution that mitigates some concerns but introduces other problems narrowing educational aims. This workshop provides a platform for collaborative exploration and dialogue of how CSCL can offer fresh perspectives and pathways for addressing these challenges and creating opportunities. Grounded in CSCL theory, design, and analytics, this workshop examines conceptualizing AI as a dialogic, collaborative partner; designing innovative assessments; assessing processes rather than products; and using collaborative analytics to support learning in AI‑enriched environments. Key issues for inquiry include: purpose of assessment, design and fine‑tuning of AI‑supported assessment, AI-powered multi-modal analytics and feedback, equity and diversity, researcher–teacher collaboration, ethics-privacy, and public discourse. Together, we work towards re‑envisioning assessment, synergizing research and practice, building collective knowledge and strengthening CSCL's impact and significance in the Gen AI era.