Towards generative AI for course content production: Expert reflections

Ullmann, Thomas; Edwards, Chris; Bektik, Duygu; Herodotou, Christothea and Whitelock, Denise (2024). Towards generative AI for course content production: Expert reflections. European Journal of Open, Distance and e-Learning (In press).

Abstract

The wide availability of generative AI for content production has resulted in a growing interest in the area of education, particularly for course content production purposes. This research has mapped out a set of curriculum production tasks and illustrated how generative AI can support three important tasks: namely, the development of course outlines and content, the drafting of assessment instructions, and the mapping of learning outcomes to benchmark statements. We evaluated the outputs of the generative AI with five experts: a course production expert, an academic expert, two Learning Design experts, and an AI expert. The results indicate that generative AI enabled the generation of plausible content skeletons for content and first drafts of relevant content to aid the course production team's brainstorming but also highlighted the importance of reviewing generated content. Our research indicates that generative AI can result in shifts in the delivery of these tasks.

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