A new article for Inside Higher Ed explores the methods several educators are using to reduce student reliance on AI tools. “For so long, online courses have been the same old, same old—essays and multiple choice questions,” said MIT Assistant Director of Instructional Design Luke Hobson. Hobson proposes using other assessment methods, including oral assessments or video journals where students discuss their learning, as well having students critique generative AI output. While it may not be possible to stop students from accessing AI, there are ways to limit the tools’ usefulness, argue Deakin University PhD Candidate Leon Furze and Boston College Professor Carlo Rotella. Furze suggests drawing on hands-on projects, while Rotella shared how he structures his classes to be discussion-based and device-free so that only students in attendance would know the context of assessments.
