Prompting as Pedagogical Design

Abstract

<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d320448e85">As generative AI becomes increasingly embedded in higher education, the challenge for educators and learning designers is no longer whether to use AI, but how to integrate it in ways that preserve pedagogical rigour, professional judgement and academic authorship. This interactive workshop introduces prompting as pedagogical design — an approach that treats interaction with AI as a reflective, structured design practice rather than a content-generation shortcut. <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e87"/><p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e88">Building on the Three Voices Model (subject-matter expert, learning designer and AI assistant), the workshop positions prompting as a collaborative design medium through which pedagogical intent is articulated, tested and refined. Participants will explore how prompting can be used to support constructive alignment, ensuring coherence between learning outcomes, activities and assessment, while maintaining clear human oversight. <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e90"/><p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e91">Through a short hands-on activity, participants will work with a scaffolded prompt design process based on real module-level or weekly learning outcomes. They will generate AI-supported learning materials, critically evaluate outputs for alignment and cognitive appropriateness, and reflect on the role of the learning designer in interpreting and refining AI contributions. The workshop also surfaces risks associated with superficial prompting, over-reliance on AI and unclear role boundaries, offering practical strategies to mitigate these issues. <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e93"/><p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d320448e94">Designed for learning designers, academics and educational technologists, the session supports the development of professional AI literacy and provides transferable methods for embedding AI into course design workflows in ethical, transparent and pedagogically grounded ways.

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