5 papers
'A bit of chaos and madness': The AI Assessment Scale and the work of assessment reform
Mike Perkins, Darius Postma, Jasper Roe +2
Generative artificial intelligence (GenAI) has intensified pressure on universities to redesign assessment while maintaining integrity, equity, and validity. Structured frameworks…
A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Models
Don Hickerson, Mike Perkins
Step-around prompting is a form of adversarial prompt engineering in which a user strategically reframes, sequences, or contextualises requests to test whether a generative AI mode…
Dramaturgies of Deception: AI Humanizers and the Performance of Legitimacy in Higher Education Assessment
Jasper Roe, Mike Perkins, Peter Bannister +2
Artificial intelligence (AI) has disrupted assessment in higher education and accelerated a cycle of compounding performances. Institutional policies demand the demonstration of in…
Assessment Twins: A Protocol for AI-Vulnerable Summative Assessment
Jasper Roe, Mike Perkins, Louie Giray
Generative Artificial Intelligence (GenAI) is reshaping higher education and raising pressing concerns about the integrity and validity of higher education assessment. While assess…
Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases
Sonja Bjelobaba, Lorna Waddington, Mike Perkins +3
Background: The rapid development and use of generative AI (GenAI) tools in academia presents complex and multifaceted ethical challenges for its users. Earlier research primarily…