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Centre for Innovation in Education website

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Centre for Innovation in Education website

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This page will be regularly updated with links to new resources, policies and guidance on effectively using Generative AI in the context of teaching, learning and assessment, and also will contain information on upcoming events that the University is hosting dedicated to exploring this technology.

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Generative AI has the potential to be transformative in the context of pedagogic practice that takes place across Higher Education. Liverpool are exploring both the opportunities afforded by such technologies and mitigating the potential dangers that established teaching, learning and assessment practices might face as the technology becomes more and more embedded in wider society.

This page will be regularly updated with links to new resources, policies and guidance on effectively using Generative AI in the context of teaching, learning and assessment, and also will contain information on upcoming events that the University is hosting dedicated to exploring this technology. CIE has worked with colleagues from all across the University to produce this content:

CIE have also developed a Generative AI North West (GAINW) Network for educational institutions in the North West to share good practice and develop new uses for GAI in education. If you are interested in joining the GAINW network please contact cie@liverpool.ac.uk.

Many of our guides, resources and events are open to everybody to view and attend, and we are always open to conversations about our approach.

Back to: Centre for Innovation in Education

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Generative Artificial Intelligence in Teaching, Learning and Assessment

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Generative AI has the potential to be transformative in the context of pedagogic practice that takes place across Higher Education. Liverpool are exploring both the opportunities afforded by such technologies and mitigating the potential dangers that established teaching, learning and assessment practices might face as the technology becomes more and more embedded in wider society.

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Here you can find all of GenAI Fest 2024 session resources, recordings and information.

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Back to Basics: An introduction to using Generative AI

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Back to Basics: An introduction to using Generative AI

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Presenters:

Gary Ellis and Rob Lindsay (University of Liverpool)

Session recording

Slides (attached above)

Join us for an introductory session on Generative AI designed for those new to the technology. This session will cover the basics of Generative AI, focusing on its application in educational, administrative and practical settings.

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Finding a Path Forward - The Creation of an AI Use Statement Tool: PowerPoint slides

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Finding a Path Forward: The Creation of an AI Use Statement Tool

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Finding a Path Forward: The Creation of an AI Use Statement Tool

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Presenter:

Katherine Whitehurst (Mary Immaculate College - Limerick)

Session recording

Slides (attached above)

Facilitated by Ben McGrae (University of Liverpool)

In this presentation I will outline our creation of an AI Agent who supports staff to create an AI Use Statement. This tool moves away from the red light system that has been widely adopted within the sector in response to AI technologies. Alternatively, this tool, draws upon module specific content to create custom use statements that recommends how AI can be used to support student learning within a given module. The statement also explains to students how particular uses of AI could prevent students from reaching the module's prescribed learning outcomes. The presentation will outline the process undertaken for the development of this tool, as well as the underpinning principles for the tool. This project has been enabled by the National Forum's Pathfinder Funding.

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Finding a Path Forward - The Creation of an AI Use Statement Tool

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Building AI-Powered Solutions for Beginner-Level Second Language Learners

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Building AI-Powered Solutions for Beginner-Level Second Language Learners

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Presenters:

Raúl Getino-Diez,

Mikel García Madariaga (XJTLU)

Session recording

Slides (attached above)

This session examines how generative AI—particularly highly controlled text generation—can support both learners and educators in beginning-level second-language modules through the development of targeted instructional tools. Drawing on the case of Spanish 001 at Xi’an Jiaotong-Liverpool University, it presents practical strategies for addressing the challenges of generating controlled texts for beginners, along with concrete recommendations for creating scalable solutions that enhance the student experience—such as AI-driven conversation partners and personalized tutors—and improve lecturer efficiency through the automated generation of learning resources. Attendees will gain actionable strategies for managing AI text generation at the beginner level and insights into integrating these capabilities into tools that support early-stage language learning. Presenters: Raúl Getino-Diez & Mikel García Madariaga

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Building AI-Powered Solutions for Beginner-Level Second Language Learners

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Empowering every learner: AI for inclusive learning and design

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Empowering every learner: AI for inclusive learning and design

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Presenters:

Ben McGrae, Kat Purdy, Ste Summers (University of Liverpool)

Session recording

Slides (attached above)

Learn to harness the power of generative AI to design and adapt content for diverse learning needs from the outset. We'll explore how AI can help you build a more accessible and supportive learning experiences for everyone. This session provides practical tips and AI-powered tools to break down barriers and support every learner's journey. We will also cover specific techniques for improving content on platforms like Canvas and showcase a range of tools to support students with diverse needs.

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Empowering every learner master slidedeck

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GenAI related assessment redesign with Think Aloud methodology: PowerPoint slides

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GenAI, Assessment Redesign and 'ThinkAloud' Methodology

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GenAI, Assessment Redesign and 'ThinkAloud' Methodology

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Presenters:

Dr. Claire Ellison, Dr. Sam Saunders, Dr. Caroline Hands (University of Liverpool)

Session recording

Slides (attached above)

In this session, we will outline a methodology for approaching assessment redesign in the context of Generative AI - the 'ThinkAloud' method. In this, participants work 1-1 with a partner and directly use Generative AI to try and complete an existing assessment as if they were a student. Participants then talk through the outputs with the partner, evaluate how effective the AI has been in completing the assessment, and consider strategies for adapting the assessment to account for, embed, or mitigate for, the impact of the technology.

Using a ThinkAloud methodology in the assessment redesign process in the context of Generative AI helps overcome the panic and fear of Generative AI's ability to complete the assessment wholesale, and provides a discursive, dialogic space to work through ideas and develop new approaches.

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GenAI related assessment redesign with Think Aloud methodology

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Using GenAI for Research: Padlet and tools

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Presenters:

Dr. Na Li (XJTLU)

Dr Tunde Varga-Atkins & Dr. Natalie Wallis

(University of Liverpool)

Session recording

Session slides

Session Padlet

Have you thought about using Generative AI tools for research tasks? Come and find out about some tools that could help you along the way from administration, literature reviews, data collection, data analysis and reporting, dissemination. This will be an introductory session, demonstrating some potential tools that may be useful in your or your students’ research work.

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Presenters:

Gary Ellis and Rob Lindsay (University of Liverpool)

Session recording

Learn how generative AI agents and Google’s NotebookLM can support both teaching and professional services work in higher education. This session will showcase practical applications — from research synthesis and curriculum design to streamlining administrative tasks, improving communication, and enhancing student support.

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University of Liverpool staff and student GenAI showcase

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University of Liverpool staff and student GenAI showcase

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Facilitator:

Will Moindrot (University of Liverpool)

Session recording

Slides (attached above)

Five talks giving a snapshot of up-to-date projects through which staff and student at the University of Liverpool have been exploring GenAI. Presentations by:

Dr Carlos Medel-Vera, Lecturer in Architectural Technology '‘Prompting Creativity: Lessons from an AI Drawing Competition’;

Casper Mugaseth, 2nd year Psychology, 'Student-developed AI Teacher Bot'

Dr Elena Musi, Reader (Associate Professor) in Communication and Media and Program Lead of the MSc in Data Science and Communication, ' LLMs and (Mis)Information: Guidelines for Responsible Use'

Peter Sustad, Small Language Models

Kat Chadwick, Clinical Skills Lecturer, 'Using AI-Generated Diverse Clinical Images to Enhance Medical Education'

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Staff and Student GenAI Showcase slidedeck

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Facilitators:

Ben Mcgrae and Dr. Sam Saunders (University of Liverpool)

This session was run by the Generative AI Network (GAIN), a cross-institutional international network of academics and higher education professionals interested in discussing GenAI and its application in educational spaces.

Please see the GAIN website for more information on the network.

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Thank you for attending GenAI Fest 2025. At the end of the week we will circulate this feedback form to consider an evaluation of the week.

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This YouTube playlist includes all the sessions from the week.

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Hosted by the University of Liverpool's Centre for Innovation in Education, and building on the success of GenAI Fest 2024, GenAI Fest 2025 offers a week-lon...

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GenAI and developing multimodal resources for learning, teaching and assessment

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GenAI and developing multimodal resources for learning, teaching and assessment

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Presenters:

Dr. Tunde Varga-Atkins, Dr. Sam Saunders (University of Liverpool)

Session recording

Slides (attached above)

In this session, we will explore how Generative AI has impacted multimodal forms of learning, teaching and assessment. We'll discuss what we mean by multimodality - pedagogy that combines multiple semiotic forms such as text, image, sound, and touch - to enhance and develop meaning-making, and we'll explore how Generative AI might make that more accessible, flexible, varied or effective than manual multimodality. We'll also outline findings from a research project on this topic, and invite discussion on how this might be applied in local contexts.