The evolving landscape of academic assessment in response to generative AI requires both immediate and long-term strategies for educators. While beginning with practical, quick-fix solutions for those needing immediate assessment adaptations, the conversation expands into broader pedagogical approaches that emphasize authentic learning through relationships, transparency, and student empowerment. The intersection of artificial intelligence and academic integrity is another area that deserves attention—thinking about AI tools not just as challenges but as opportunities to deepen discussions about academic honesty.

This section is divided into four chapters:

Quick, Short-Term Redesign Ideas

In this chapter, we review some ideas for tweaking your assessments in light of generative A.I. Although these strategies may not work in the long term—A.I. capabilities are quickly evolving—they may be a way to get started on redesigning your assessments if a full revisioning is not feasible.

Assessment Design Strategies

When you’re designing assessments, there are a three broad and interconnected strategies to think about. These strategies emphasize relationships, transparency, flexibility, and reflection, which overall lead to authentic assessments that centre student learning and empowerment.

Academic Integrity and GenA.I.

The growing popularity of A.I. has brought with it increased attention and conversation around academic integrity in higher education. In this chapter, we discuss the intersections between A.I. (artificial intelligence) and AI (academic integrity), including how the introduction of ChatGPT and other tools brings with it opportunities to have conversations with students about academic honesty and to redesign assessments.

Example Assessment Designs

This chapter will make more concrete the three design strategies outlined earlier, sharing examples of unaltered assessments, assessments redesigned to mitigate generative A.I. use, and assessments that incorporate, in various ways, student A.I. use.