In This Session
Artificial Intelligence is already influencing how students learn, conduct research, write, and prepare their assessments. For many, AI has become an integral part of the broader digital landscape in which they study, making it increasingly difficult to ignore. However, much of the current discussion about AI in assessment revolves around risks, detection, and restrictions, often overlooking the students' viewpoint.
This session will encourage educators to thoughtfully evaluate and reassess current approaches to assessment in an era where artificial intelligence is becoming an integral part of academic practices. Instead of solely focusing on methods to regulate AI usage, we will explore strategies that promote academic integrity, enhance learning outcomes, and foster student achievement within a dynamic and evolving educational environment.
Objectives
Explore what the rise of AI means for students in relation to assessment, and how AI is already influencing the way learners prepare and complete academic work.
Examine how current institutional policies on AI are being experienced by students, including whether they provide clarity and confidence or create confusion, uncertainty, and anxiety.
Encourage educators to rethink assessment design by moving beyond a one-sided debate on control and detection, towards fair, realistic, and future-focused approaches that support academic integrity, learning, and student success.
Meet the Expert - Phil Peatling
Phil Peatling is a higher education professional specialising in digital education, student success, and the evolving impact of artificial intelligence on learning and assessment. Currently working at University of Lincoln, Phil has built a career across further and higher education, leading initiatives that enhance teaching, learning, and the student experience.
With extensive experience in digital transformation, educational technology, and learner engagement, Phil is particularly interested in how institutions can respond thoughtfully to the rise of AI. His work focuses on balancing innovation with fairness, ensuring that policy, assessment design, and academic practice remain student-centered in a rapidly changing landscape.
A regular commentator on AI in education, Phil brings practical insight, sector experience, and a strong understanding of the real challenges facing educators and students today. His sessions are designed to be thought-provoking, practical, and aligned with the primary objective of supporting learner success.
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