The PROSE model for teaching with artificial intelligence: constructive alignment of prompt engineering with learning objectives
摘要
This article addresses the research gap regarding how to effectively align AI activities with learning goals and objectives. It provides a literature review of existing frameworks for writing AI prompts for teaching students. The article proposes a practical model for AI prompt engineering, demonstrates its association with the principles of constructive alignment and describes three case studies for using the PROSE model in teaching activities. This position/review paper explores how to align AI prompt engineering with curriculum planning processes. The PROSE model (Persona, Rubric, Objective, Steps, Examples) outlines how to create engaging AI activities from existing course content and materials based on recommended practices of constructive alignment. This article provides detailed descriptions and three case studies for how to use the PROSE model for content creation, feedback and evaluation and student mentoring. It concludes with a list of teaching and learning applications of AI prompts and suggested areas for future study. Research has identified that the learning curve for crafting effective prompts is one of four critical barriers for AI integration into teaching practices. There is a need for theoretical models and practical guidelines on how teachers can engineer prompts that align with the learning objectives in their courses. Educators can use the PROSE model to take existing course curriculum, materials and evaluation methods and write AI prompts that create personalized learning experiences for students using current course learning objectives.