Assoc. Prof. Mike Perkins serves as Associate Professor and Head of the Centre for Research & Innovation at British University Vietnam (BUV). With a PhD in Management from the University of York, he has emerged as a leading global voice on AI in assessment and the ethical integration of AI in education. Dr. Perkins is renowned for developing the AI Assessment Scale (AIAS), now translated into 21 languages and implemented across more than 300 schools and universities worldwide. His pioneering work addresses the critical intersection of technology, academic integrity, and ethical implementation of AI in educational settings. He leads research in the equitable application of GenAI technologies and provides essential guidance to educators and policymakers responding to the challenges of the new GenAI landscape. Dr. Perkins' expertise has established him as a sought-after advisor to educational institutions globally, supporting them in ethically integrating Generative AI to enhance student learning while preserving academic integrity.
Is using AI in assessments ‘cheating’ or simply a new form of academic collaboration? This workshop challenges traditional notions of academic integrity in an AI-powered world. In this practical workshop, participants will explore how the AI Assessment Scale (AIAS) (Perkins et al., 2024) provides a structured framework for integrating Generative AI into educational assessments. Rather than viewing GenAI as merely a potential threat to academic integrity, the workshop demonstrates how the AIAS enables educators to thoughtfully incorporate this technology across a spectrum of assessment tasks—from “No AI” to “AI exploration”.
Participants will engage in hands-on activities including stress-testing existing assessments by attempting to complete them using GenAI tools, identifying vulnerabilities, and redesigning assessments using the AIAS framework. Educators will discover how to develop CustomGPTs and standardised prompts that provide clear structure for students using GenAI in assignments, create AI-informed marking rubrics, and use the AIAS CustomGPT to transform previously created assessments.
The workshop emphasises practical approaches that maintain academic rigour while acknowledging the realities of GenAI in today's educational landscape. By reframing how we think about AI assistance in student work, educators can design assessments that focus on meaningful learning outcomes rather than futile attempts to detect AI use.
Workshop participants will:
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