AI RESEARCH
TeamUp: Semantic Project Matching and Team Formation for Learning at Scale
arXiv CS.CL
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ArXi:2605.03237v1 Announce Type: cross Project-based learning improves student engagement and learning outcomes, yet allocating students to appropriately challenging projects while forming cognitively diverse teams remains difficult at scale. Traditional allocation methods (manual spreadsheets, preference surveys) can't construct the cognitively diverse teams that that collaborate cognitively. This mismatch perpetuates equity issues: high-performing students self-select visible projects while under-represented students face reduced access to opportunity.