Artificial intelligence in higher education
Clear policies, transparent disclosure and shared accountability are essential to protect the integrity of research, says George Chalhoub
Divergent attitudes towards the use of AI in assessments risks weakening the credibility of academic certifications and driving mistrust between students and teachers
Can AI match the insights of human referees? We don*t know. So before implementation, let*s run the experiment, says Sheldon H. Jacobson
Poll finds most students see generative technology as a support tool, but small minority use it for entire assessment submissions
Reversing some recent trends in teaching and learning is sure to generate mixed responses from students. Regulators must step in, says Ian Pace
Aston and Leeds plan to create resources and training tools for students, supervisors and examiners
Failure to explain how AI-aided academic writing is a form of plagiarism leaves graduate students horribly compromised, says E.M. Wolkovich
Fears raised over &culturally encouraged introversion* but could study assistants help bridge gap between universities and Silicon Valley?
Asking undergraduates to submit pen-on-paper essays is a desperate and retrograde step that undermines assessment rather than safeguards it, says Dan Sarofian-Butin
As an editor, I am receiving submissions from spurious authors consisting of previously published papers altered by AI. But why, asks Seongjin Hong
OpenAI builds tool to combat student reliance on AI answers, but insists that cheating requires &holistic* approach from universities and tech firms
&Huge potential* for higher education to tap into &massive pool of interested students*, finds report
Ombudsman tells universities to be mindful of &limitations* of detection tools and to consider if they are biased against international students