Show Notes
73 percent of faculty faced AI integrity cases, making AI assessment redesign safer than relying on unreliable detectors. In this episode: A striking 73 percent of faculty have already faced academic integrity issues related to AI, according to a national survey highlighted by Inside Higher Ed. Major AI detectors such as OpenAI, Writer, Copyleaks, GPTZero, and CrossPlag are widely unreliable, prone to false positives, and disproportionately flag non-native English writers, making AI detectors in education a risky strategy. Instead of an endless 'cat-and-mouse' game with detection, a better approach is AI assessment redesign, focusing on 'AI-resilient' assignments that make it harder to outsource critical thinking. The 'Three Ps model' (product, process, and performance) offers a practical framework for teaching with AI, enabling educators to gather richer evidence by observing how students interact with and transform AI output. Successful academic integrity AI strategies require systemic support, not just individual teacher efforts, prioritizing curriculum reform over the purchase of unreliable AI detection software. Chapters: 00:00 — Cold open & welcome 00:30 — 73% of faculty face AI academic integrity cases 00:55 — The unreliability of AI detectors in education 01:30 — Why the 'cat-and-mouse' game with AI detection fails 01:55 — Moving to AI-resilient assignments and AI assessment redesign 02:25 — Context matters: Scaling AI-proofing assignments for large classes 03:00 — The Three Ps model: product, process, and performance in teaching with AI 03:45 — Systemic support for AI assessment redesign, not just individual effort 04:30 — Balancing 'protected' and 'supported' AI use moments 05:00 — Rethinking academic integrity AI: revealing minds, not catching machines What percentage of faculty are dealing with AI academic integrity issues? A national survey cited by Inside Higher Ed indicates that 73 percent of faculty have personally dealt with academic integrity issues involving AI. Are AI detectors in education reliable for identifying AI-generated text? No, studies show AI detectors from companies like OpenAI, Writer, Copyleaks, GPTZero, and CrossPlag are deeply unreliable, producing inconsistent results and falsely flagging human writing, especially from non-native English speakers. How can teachers implement AI assessment redesign to make assignments more 'AI-resilient'? Educators can implement AI assessment redesign by making tasks require visible processes, real-world application, and live performance, such as photographing local features for a geography project or challenging AI claims, embodying the 'Three Ps model' of product, process, and performance. Featuring: Dan Fitzpatrick, Inside Higher Ed, Brown University, Alcorn State University, OpenAI, Writer, Copyleaks, GPTZero, CrossPlag. Read the original source Follow AI in Education with Dan Fitzpatrick for more on AI in education.
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