Proving Provenance: Empowering Students to Validate Their Work to Avoid AI Academic Misconduct Accusations
Keywords:
Artificial Intelligence; Course design; Academic misconduct; Proving provenanceAbstract
This quantitative study examined how artificial intelligence (AI) has influenced academic misconduct cases reported by instructors. Findings show AI-related cases now surpass all other types of misconduct, with most reports involving computer science majors, males, and international students. The study recommends moving beyond unreliable AI detection tools and adopting innovative practices—such as requiring students to follow the Cole (2024) framework to verify the provenance of their assignments before submission—to promote fairness and accountability in academic integrity practices.
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