The brief and supportive resources on this page provide program and course design guidance — including field profiles, lesson plan models, and an interactive review rubric — to help faculty, program directors, and instructional teams keep curricula workforce-relevant and academically valuable as AI reshapes the nature of work.

Routine early-career tasks are increasingly handled by AI. At the same time, traditional assignments can now be completed convincingly with AI tools making polished final products weaker evidence of what a student actually knows and can do. Together, these shifts raise a design question every program needs to answer: are our courses still producing credible evidence of graduate readiness?

Start here with the brief developed by the 2U Learning Strategy team, then access supportive components below.

This interactive companion can be used as you navigate the brief and covers the background, what changes in learning and assessment, and course-level strategies. You can access the interactive component here.

Reference this image for a visual of the AI Task Decision Rule. Use the graphic to decide how to structure an assignment or advise students on task allocation: start with the nature of the task, follow the column that matches, and apply the corresponding accountability expectation.