Teaching AI Fluency

Anthropic

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                ## What you'll learn

Estimated time: 40 minutes

By the end of this lesson you'll be able to:

Design assignments that help students both develop and demonstrate AI Fluency
Manage the increased volume and complexity of AI-enhanced student work

Designing assignments for AI Fluency

This video focuses on designing assignments that help students both develop and demonstrate AI Fluency. It emphasizes three key principles: authenticity (creating assignments that mirror real-world AI collaboration), iteration (building in opportunities for refinement that showcase growth), and pedagogical transparency (being clear about assessing the collaboration process, not just outputs). The video presents various assignment types including outcome-based assignments (like improving AI outputs or comparing different AI systems), process-based assignments (such as annotated chat logs or recorded narrations), and reflection-based assignments (including learning journals and personal policy statements). It also addresses practical strategies for managing the increased volume of content that AI-enhanced assignments generate, such as using detailed rubrics, emphasizing peer review, conducting lightning round conferences, and selective sampling of student work.

Key takeaways

Effective AI Fluency assignments emphasize authenticity, iteration, and pedagogical transparency
Outcome-based assignments focus on products but reveal collaboration skills
Process-based assignments make invisible decision-making visible through documentation
Reflection-based assignments develop metacognitive awareness but need variety to avoid fatigue
Managing increased volume requires strategic approaches like rubrics, peer review, and selective sampling

Exercises

This exercise helps you create a comprehensive assignment that develops and assesses AI Fluency.

Step 1: Assignment Architecture (10 minutes)

Continue your conversation from Exercise 1 about assessment design:

Connecting to your rubric:

Reference the rubric you just created and the competencies it emphasizes
Discuss with the AI what type of assignment/component would best allow students to demonstrate these competencies
Consider whether you want to focus on outcome, process, reflection, or a combination
Explore how this assignment fits within your broader course structure

Selecting assignment components:

Review the different assignment components discussed in the videos with the AI
Choose 2-3 components that work together coherently for your purposes
Adapt these components to feel natural within your course context
Ensure the workload is manageable for both students and yourself
Work with the AI to ensure the assignment mirrors real-world AI collaboration in your field and build in genuine problems where AI partnership adds value

Step 2: Building in Iteration and Growth (10 minutes)

Design opportunities for refinement and development:

Discuss with the AI where students should pause and refine their work
Plan checkpoints that allow students to learn from early attempts
Create templates or guides for students to capture key decision moments
Design support structures for students who struggle with reflection

Step 3: Implementation Planning (10 minutes)

Finalize the practical details:

Work with the AI to draft assignment instructions that are specific but not overwhelming
Include clear statements about what you're assessing (process and reflection, not just output)
Specify deliverables, formats, and submission requirements
Connect the assignment explicitly to AI Fluency development
Discuss with the AI how to keep the grading manageable, including planning which elements you'll assess in detail versus review quickly, exploring peer review components that add value without adding burden, and considering how to use sampling or conferences instead of extensive written feedback

Lesson reflection

What challenges do you anticipate in implementing these assessments?
How will you communicate the value of process and reflection to students?

What's next

In the next lesson, we'll examine AI's specific impact on curriculum, pedagogy, and assessment in your field.

Feedback

As you progress through the course, we'd love to hear from you about how you are using concepts from the course in your life, work, or classes and any feedback you may have. Share your feedback here.

Acknowledgments and license

Copyright 2025 Rick Dakan, Joseph Feller, and Anthropic. Released under the CC BY-NC-SA 4.0 license. This course is based on The AI Fluency Framework by Dakan and Feller.Supported in part by the Higher Education Authority, Ireland, through the National Forum for the Enhancement of Teaching and Learning.

                        #### Downloads

                        - Assignment component guide.pdf

TAIF_TRANSCRIPT_05_ASSIGN.txt

Designing Assignments For AI Fluency