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The capabilities offered by AI technology are difficult to overstate, and they require a radical rethinking of what we teach and how we assess learning. This library offers assessment strategies designed for teaching in the Age of AI.
AI-Resistant Design
AI-Resistant Design
When AI can generate sophisticated work indistinguishable from human effort, assessment integrity depends on requiring embodied presence, real-time judgment, and interpersonal dynamics that cannot be outsourced to algorithms.
Real-time collaborative reasoning under observation
Novel scenarios requiring spontaneous response
Authentic projects with external organizational partners
Authentic projects with external organizational partners
Students record their screen and face while working, making the authentic cognitive process itself the evidence of learning.
Students demonstrate mastery by teaching concepts to peers in recorded synchronous sessions with structured Q&A
Exploratory AI Empowerment
Exploratory AI Empowerment
When we treat AI as contraband, we drive usage underground and create a generation simultaneously dependent on and ignorant about these systems, so exploratory empowerment transforms AI from a threat into a microscope for examining how knowledge works.
Low-stakes experimentation revealing capabilities and limitations
Explaining prompting choices and iterative refinement processes
Documenting moments of surprise when using AI tools
Analyzing breakdowns between AI output and human reasoning
Critiquing AI's attempt at your own assignment
Introducing the Capabilities of Gen AI to your Learners
Learners select an AI-generated solution to a real-world problem and write a persuasive argument that is subsequently evaluated by an AI tool.
Ethical AI Reflection
Ethical AI Reflection
The constant temptation to outsource intellectual labor creates ethical dimensions previous generations never confronted, requiring students to recognize that their unique perspectives and human judgment are precisely what cannot be automated.
Articulating why personal perspective matters to this work
Deliverables for real audiences with genuine consequences
Self-defined goals with mid-course intrinsic motivation checks
Considering what affected parties would say about your work
Students examine which mental processes they delegate to AI and weigh efficiency gains against what's lost.
Students trace where their ideas come from and confront how AI complicates authorship and attribution.
AI-Augmented Humanism
AI-Augmented Humanism
AI engages with knowledge work and creative synthesis in ways that blur boundaries between human and machine cognition, raising the question of what skills become devalued, what disorders develop, and what sophisticated practices require human agency even when recognizing AI's transcendent contributions.
Side-by-side comparison analyzing strengths and authenticity
Annotated documentation of human versus AI contributions
Conversing with an AI trained on your intellectual position
Mapping where human insight anchors AI-augmented processes
Philosophical exchange testing reasoning through sustained inquiry
Students analyze a transcript of an impartial, AI-generated debate on a controversial topic to review opposing arguments and develop their own critical stance.
Students prepare for writing assignments by critically analyzing and annotating two different AI-generated outlines on a specific topic to evaluate the relevance and quality of the suggestions.
Students demonstrate mastery by teaching a concept to an AI acting as a novice undergraduate, which then provides a critique of their explanation.
Student pairs consult a generative AI "virtual teammate" during class discussions to expand and refine their initial brainstorming ideas.
Societal Co-Evolution
Societal Co-Evolution
Individual AI mastery is insufficient when we're experiencing a total reimagining of how we work, create, govern, and relate—yet education with generative AI prepares students to see AI critically, arm themselves to advocate for or against its use, and recognize today's students will be the ones whose decisions determine our collective relationship with these technologies.
Role-playing policymakers deliberating governance dilemmas
Researching AI adoption effects on specific populations
Speculative proposals illustrating possible societal futures
Designing community-centered ethical AI prototypes
Students examine when—if ever—advanced AI systems might warrant moral consideration beyond their status as tools.
Students interview people from different populations to understand how AI serves vastly different purposes across lives.
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