Designing AI-Resistant Assessments

Generative AI tools have the potential to dramatically reshape how students approach their assignments. While AI can assist in various learning tasks, it presents challenges for educators, especially when students might use it to complete assignments with minimal original input. It then becomes critical for educators to design assessments that are not easily solvable by generative AI tools and foster higher-level thinking skills as represented by Bloom’s Taxonomy.

As instructors work through revising assessments to be resistant to generation by AI tools with little student input, they should consider the following principles:

• Incorporate personal experiences and local content into assignments
• Ask students for multi-modal deliverables
• Assess the developmental benchmarks for assignments and transition assignments further up Bloom’s Taxonomy
• Consider real-time and oral assignments

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