AI/cheating

Launching a new series with approaches to an unsolved problem

Tricia Bertram Gallant, coauthor of The Opposite of Cheating: Teaching for Integrity in the Age of AI, joins us to discuss questions about academic dish...

Plus, Time. Plus, NY-Who-Dis?

Integrity and Ethics in the Gen AI Age.

Tricia Bertram Gallant and David Rettinger discuss The Opposite of Cheating: Teaching for Integrity in the Age of AI on episode 568 of the Teaching in Higher Ed podcast

A collection of viewpoints from academic experts on how to teach with and for integrity in the age of AI.

In a new book, a long-time expert on academic integrity argues that understating why students cheat is key to making adjustments in teaching to prevent ...

In this extract from their new book, ‘Teaching with AI: A Practical Guide to a New Era of Human Learning’, José Antonio Bowen and C. Edward Watson discuss the reliability of AI detection tools and how to combat cheating without them

Turnitin, a service that checks papers for plagiarism, says its detection tool found millions of papers that may have a significant amount of AI-generated content.

Stanford education scholars Victor Lee and Denise Pope discuss ongoing research into why and how often students cheat.

A not-so-hot take on the copyright and plagiarism conversation with AI

It is worthwhile spending some time on social media to see the relentless bombardment faced by students from influencers peddling AI tools that straddle the line between aiding study and blatantly enabling cheating. These influencers flourish is contradictions and promise the moon: complete your homework in five minutes flat, forget about ever attending another lecture, let AI take up the pen for you. In each pitch, the essence of learning is overshadowed by a pervasive call to save time. Welcome to the dizzying world of AI influencer culture, where the pursuit of profit drives companies to use influencers as direct conduits to push their products onto students.

This study provides measurements that may add depth and understanding to existing hunches and suspicions when reading AI generated text.

Plus, more fines and stupid questions about yet another penalty for cheating accountants. Plus, from Monitor AI.

How AI could enhance, rather than undermine, academic integrity

Zhao et al (2023) conducted a clever study to show students benefit when they are reminded about academic integrity.

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Plus, integrity researcher says manipulative social norms can limit misconduct.

Now that generative AI tools like ChatGPT are available, classwork is bound to change as a result. How do we preserve academic integrity? What's cheating,

AI Text Detectors (aka AI Plagiarism Detectors & AI Content Detectors) Designed by Torrey Trust, Ph.D. College of Education University of Massachusetts Amherst @torreytrust | torrey@umass.edu This work is licensed under CC BY NC 4.0, meaning that you can freely use, remix, and share it as long as...

With increasing access to different types of AI chatbots and technology, “preventing student cheating via AI” has risen to the top of the list of faculty concerns for 2023.

Stanford study found AI detectors are biased against non-native English speakers

A new study finds unsupervised, online exams can provide a valid and reliable assessment of student learning, but instructors should be aware of potential weak spots.