An Educators’ Guide to Multimodal Learning and Generative AI

Varga-Atkins, Tunde ORCID: 0000-0002-9492-4284, Saunders, Samuel ORCID: 0000-0002-7515-9214, Beckingham, Sue, Hartley, Peter, Keshishi, Nayiri, Lacković, Nataša, Li, Na, Lindsay, Rob ORCID: 0009-0002-2342-401X, Wen, Run and Winder, Isabelle (2025) An Educators’ Guide to Multimodal Learning and Generative AI. [Report]

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Executive Summary

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.

Item Type:	Report
Uncontrolled Keywords:	generative AI, higher education, multimodal assessment, multimodal learning, multimodal teaching
Divisions:	?? dir_edu ??
Depositing User:	Symplectic Admin
Date Deposited:	03 Sep 2025 07:45
Last Modified:	30 Sep 2025 07:36
DOI:	10.17638/03194252
Related Websites:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3194252