Generative AI and Academic Practice | Leeds Beckett University

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Teaching Guidance, support and resources

Educators’ guide to multimodal learning and Generative AI (pdf). This guide from the University of Liverpool explores how Generative AI can support creative and diverse forms of teaching, learning, and assessment. It offers practical strategies for educators, based on research across UK higher education
Online resource: An introduction to Generative AI in Higher Education (webpage). Learn about the AI tools available at Leeds Beckett and beyond, explore the ethical considerations around using AI in the academic environment, discover how AI can support inclusive practice, learn how to write effective prompts and identify ways generative AI could assist you with teaching and learning and administrative tasks
AI tools and GAIT in education (video). Explore how generative AI is shaping student learning, assessment design, and academic integrity, with practical strategies for responsible integration. Presentation by Dr Jackie Campbell, Dr Sanela Lazarevski and Prof. Tony Bryant
Generative AI case studies from Autumn DEAP25 (video playlist). A set of case studies that examine how AI is transforming learning at LBU and shaping how we assess student capabilities in a fast-changing world
Generative AI case studies from Winter DEAP25 (webpage). Explore a series of case studies showcasing the considered integration of generative AI into teaching and assessment practice in higher education
MyBeckett Ultra AI Design Assistant (webpage). This guide introduces the AI Design Assistant in MyBeckett Ultra modules and communities. Keep checking back for further updates to this page
AI for admin & assessment! (video). Professor Simon Thomson, University of Manchester, shows how they use generative AI tools like Copilot for admin tasks, assessment design, and supporting flexible learning. A hands-on session with live demos and practical tips

Assessment guidance, support and resources

Centre for Learning and Teaching (CLT) bespoke sessions (pdf). A summary of CLT’s bespoke support sessions for Schools and subject groups as they consider updates to courses and practices in response to Generative AI.
Extract from Jisc's Developing an assessment framework in the age of generative AI (video). This video shows two examples of AI in assessment: one using AI-generated answers in an oral exam, the other an autonomous AI completing a quiz. Both highlight the need to rethink assessment in the AI era. The full video can be found on the Jisc YouTube channel
Generative AI case studies from Winter DEAP25 (webpage). Explore a series of case studies showcasing the considered integration of generative AI into teaching and assessment practice in higher education
Generative AI tools, a guide for Leeds Beckett staff designing assessments (pdf)
Reworking essay questions to be less AI vulnerable (pdf). This text offers practical, short-term strategies to strengthen assessment validity and promote authentic student engagement, aligned with Leeds Beckett's Course Principles

The Centre for Learning & Teaching (CLT) is offering bespoke sessions to support Schools and Subject Groups in reflecting on how they can best adapt their courses, assessments, and teaching and learning opportunities in a Generative AI age, and to rethink educational practices for an AI-informed future.

These sessions are designed for whole-School delivery and may be tailored to the specific needs of individual Schools and Subject Groups. The sessions can be combined to suit particular School or Subject Group priorities and can be scheduled over a period of time to scaffold conversations.

CLT session types

Assessment	Curriculum	Teaching activities	Learning and teaching creation
AI enabled assessment	Learning outcomes of the future	Engaging students with AI	Getting started with AI rethinking ideas
Valid assessment in an AI enabled world	Rethinking curriculum – AI informed	Engaging delivery	AI for course teams
Stress-testing assessment	What does my discipline look like in AI world	Making my teaching more inclusive	AI + future skills
Rethinking assessment: AI, authentic, achievable, inclusive		Getting started with AI in learning and teaching

Course Principles: A guide to student continuation, completion and success

This guide has been updated with new reflective questions informed by new policies relating to generative AI, academic freedom, and managed boundaries that impact our learning and teaching.

This document was last updated in July 2025