How strong is the evidence in generative AI-related academic misconduct allegations? A mixed-methods analysis
An empirically derived taxonomy that categorises the types of evidence used in GenAI misconduct proceedings and offers a structured framework for assessing the quality and reliability of that evidence is designed for direct application in institutional decision-making is offered.
Albert Munoz, Mercedez Hinchcliff, C. Langfield et al.
· International Journal for Ed... · 0 citations