How Generative AI is Transforming Multimedia Education: Skills, Integrity, and Learning Outcomes

Abstract

Creative multimedia education is rapidly evolving with the integration of generative AI, which is changing the nature of ideation, production and presentation. This paper offers a conceptual qualitative study of existing generative AI practices and their impact on multimedia education. The research draws on literature and industry reports to explore three aspects: (1) the shift in skill development from production to art direction, prompting, and refinement; (2) the growing complexity of academic integrity, authorship, and assessment validity; and (3) the nature of learning outcomes, where rapid prototyping and accessibility may both enhance creativity and risk undermining core skills. The paper draws on current educational guidelines and industry reports to offer a model for human-AI co-creation in multimedia learning. It also proposes assessment strategies that prioritise transparency, quality of refinement, and ethical disclosure. By shifting the focus from generative AI as a productivity enhancer to a pedagogic design challenge, this research adds to the debate about how educational institutions can update their curricula and assessment practices to ensure effective learning in AI-augmented learning environments.