Artificial Intelligence has dramatically transformed the educational landscape, leaving both students and educators navigating uncharted territory. Dr. Kelly Ahuna, Director of Academic Integrity at ...

Maintaining academic integrity in the age of generative AI is a headache for all professors. But those who teach large-enrollment and asynchronous courses are in a particularly challenging spot. If ...

an incomplete understanding of what constitutes plagiarism and/or inappropriate collaboration; and/or anxiety and stress (often from trying to complete an assignment right before a deadline). To ...

Accurate assessment of student knowledge and abilities is foundational to the work of education. Generative AI tools present an existential threat to that accuracy because students can outsource many ...

Educators might treat AI as an integrity problem, but employers don’t. They need graduates who can decide when to trust the machine – and when not to. And that’s why you should design assessment that ...

Tianna Myers helps students turn the page to their next chapter. From teaching integrity to helping students find their voice ...

AI has taken over the world, literally. From being integrated in research to embedded in classrooms, AI has stretched and continues to spawn its ever growing reach across every industry. AI’s impact ...

As we seek to prepare young people with skills for career success, Warren Buffet reminds us what makes great employees: “In looking for people to hire, look for three qualities: integrity, ...

Generative AI is already being used by both students and faculty. The use of AI tools has fundamentally complicated traditional notions of academic integrity. With easy and free access to AI tools, ...

Generative AI has intensified concerns about academic integrity, primarily by increasing uncertainty about how student work is produced and how misconduct should be interpreted. This page explains ...