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An Educators’ Guide to Multimodal Learning and Generative AI

  • T. Varga-Atkins
  • , Samuel Saunders
  • , Sue Beckingham
  • , Peter Hartley
  • , Nayiri Keshishi
  • , Nataša Lacković
  • , Na Li
  • , Rob Lindsay
  • , Run Wen
  • , Isabelle C. Winder
  • University of Liverpool
  • Sheffield Hallam University
  • Edge Hill University
  • University of Surrey
  • Lancaster University
  • Xi'an Jiaotong‐Liverpool University

Research output: Book/ReportOther report

Abstract

This guide presents strategies and techniques for the incorporation of Generative AI (GenAI) in multimodal forms of teaching, learning, and assessment. It focuses on the intersection of multimodal learning and Generative AI (GenAI) and is written for both educators and educational developers, who play a pivotal role in modelling pedagogical innovation and guiding colleagues through evolving landscapes of teaching and learning. The guide is a product of a 2024/25 SEDA Small Grants project, conducted between academics and researchers spread across multiple higher education institutions across Britain and beyond. The project drew on our own experiences with Generative AI in multimodal contexts, as well as data from an extensive literature review, a case-study collection exercise, a survey, and a suite of focus groups with educational developers, educators, and students conducted during a collaborative research project in 2024–25.
Original languageEnglish
PublisherCentre for Innovation in Education, University of Liverpool
Number of pages141
DOIs
Publication statusPublished - 14 Oct 2025

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