Showing posts with label academic misconduct. Show all posts
Showing posts with label academic misconduct. Show all posts

Sunday, November 21, 2021

Artificial intelligence is getting better at writing, and universities should worry about plagiarism; The Conversation, November 4, 2021

 and  , The Conversation; Artificial intelligence is getting better at writing, and universities should worry about plagiarism


"The dramatic rise of online learning during the COVID-19 pandemic has spotlit concerns about the role of technology in exam surveillance — and also in student cheating. 

Some universities have reported more cheating during the pandemic, and such concerns are unfolding in a climate where technologies that allow for the automation of writing continue to improve.

Over the past two years, the ability of artificial intelligence to generate writing has leapt forward significantly, particularly with the development of what’s known as the language generator GPT-3. With this, companies such as Google, Microsoft and NVIDIA can now produce “human-like” text.

AI-generated writing has raised the stakes of how universities and schools will gauge what constitutes academic misconduct, such as plagiarism. As scholars with an interest in academic integrity and the intersections of work, society and educators’ labour, we believe that educators and parents should be, at the very least, paying close attention to these significant developments."

Wednesday, October 23, 2019

How is an academic CV different from a résumé?; The Washington Post, October 22, 2019

Daniel W. Drezner, The Washington Post; How is an academic CV different from a résumé?

"During the weekend, the Chronicle of Higher Education’s Megan Zahneis wrote up Phillips’s study, noting some possible concerns: “While it has popped up in a few high-profile cases, CV falsification is an instance of academic misconduct that might not make as many headlines as fudging data or plagiarism. But the difficulty of detecting it could make it all the more insidious.” Indeed, the grad students who did the coding for Phillips et al. got more and more upset as they proceeded. As Phillips explained to Zahneis, “That’s because most of these were applicants for entry-level positions, which is what they hoped to be applying for someday.""