AI RESEARCH
Auditing Student-AI Collaboration: A Case Study of Online Graduate CS Students
arXiv CS.AI
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ArXi:2601.08697v4 Announce Type: replace-cross As generative AI becomes embedded in higher education, it increasingly shapes how students complete academic tasks. While these systems offer efficiency and, concerns persist regarding over-automation, diminished student agency, and the potential for unreliable or hallucinated outputs. This study conducts a mixed-methods audit of student-AI collaboration preferences by examining the alignment between current AI capabilities and students' desired levels of automation in academic work.