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Applying AI Fluency to course design and learning outcomes

📖 Lesson content

What you'll learn

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

  • Apply all 4Ds systematically to course design
  • Move from high-level planning to specific learning objectives
  • Build coherent course structures through AI collaboration
  • Maintain pedagogical integrity while leveraging AI capabilities

Applying AI Fluency to course design and learning outcomes

(10 minutes)

This video demonstrates how to apply the AI Fluency Framework to course and lesson design. We explore how building rich, shared context transforms AI from a generic assistant into a collaborative partner who understands your specific teaching situation. The video walks through applying each of the 4Ds to three fundamental course design tasks: identifying essential content and concepts, mapping the learning journey, and articulating learning objectives. We show how Delegation involves understanding what you're trying to accomplish and why before deciding how to collaborate. Description means inviting AI into your specific problem space with rich context. Discernment involves evaluating suggestions against your expertise and explaining why things work or don't for your students. Diligence means maintaining responsibility while documenting your collaborative process. The video emphasizes that this isn't about outsourcing decisions but about creating genuine cognitive partnership.

Key takeaways

  • Context-building transforms generic AI into a teaching and thinking partner who understands your approach, vision and needs
  • Each of the 4Ds plays a specific role in course design collaboration
  • The goal is enhancement, not just efficiency. We want better teaching and learning, not just faster planning
  • Your pedagogical and subject matter expertise guides the entire process

Exercises

Exercise: Complete Course Design Workflow (50 minutes)

Re-using your Teaching Context document from Lesson 1 as part of your initial prompt, work through a partial/full course (re)design process. You can also share this course's video transcripts with your AI partner (see Lesson resources).

Stage 1: Planning Your Approach

Before starting with AI, clarify for yourself:

  • Which course or unit are you designing or redesigning?
  • What work needs to be done? (content selection, sequencing, objectives, etc.)
  • What aspects require your expertise vs. where might AI help?

Stage 2: Initiating Collaboration

Starting the conversation:

  • Begin a new conversation with Claude or an AI assistant of your choice
  • Share your Teaching Context document from Lesson 1
  • Explain which course you're working on and what you're trying to accomplish

Making your description rich:

  • Don't just name the course—explain the specific challenges
  • Share what makes this course unique (student needs, prerequisites, outcomes)
  • Describe your vision for what success looks like
  • Explain your delegation thinking—what you want to collaborate on and why

Setting up the partnership:

  • Invite the AI to ask clarifying questions
  • Share any constraints (time, resources, institutional requirements)
  • Indicate whether you're starting fresh or revising existing material

Stage 3: Build the conversation through Description & Discernment

Work through relevant course elements, applying Discernment throughout and revising your Description though ongoing conversation:

Content Identification:

  • Ask the AI to suggest topics and concepts based on your context
  • For each suggestion, evaluate: Does this serve YOUR students?
  • Always explain your reasoning back to the AI—why something works or doesn't
  • Build on good ideas, redirect weak ones

Learning Journey Mapping:

  • Work together to sequence 3-4 class sessions
  • Ask the AI to take on your students' perspective at transition points
  • Explore: "What might confuse students here?" "What scaffolding is needed?"
  • Discuss how each session builds on the previous one

Learning Objectives:

  • Transform your content map into specific, measurable objectives
  • Check alignment with your institutional requirements
  • Ensure objectives ladder up to broader course goals
  • Have the AI help you spot gaps or redundancies

Stage 4: Documentation & Reflection

  • Verify for accuracy, citations, etc.
  • Document key decisions and your reasoning
  • Note which AI suggestions you rejected and why
  • Create a brief statement about AI's role in your planning
  • Consider how you might share this process with students or colleagues

What's next

In the next lesson, we'll explore creating learning materials and assignments with AI. You'll discover how the context you've built makes material creation more coherent and effective, from lecture slides to assessments, while addressing the challenge of maintaining academic integrity when students also have access to AI.

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.

Acknowledgements

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.

Summary

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🎬 Video transcript

Source video: cVFLuBbnbMo

📜 Click to expand transcript (cleaned + AI-translated)

Transforming Course Design through AI Fluency

The key to human-AI partnership is building rich, shared context, helping AI process exactly what you're trying to achieve in your course or lesson. This turns AI from a generic assistant into a collaborator who responds to your specific teaching context, your constraints, and your pedagogical vision.

One of AI's most transformative capabilities for educators is holding large contexts in mind while helping us think through interconnected decisions. When you do this well, AI becomes less like a generic assistant and more like a colleague who understands your teaching approach.

The Three Fundamental Tasks of Course Design

When designing a course, we generally engage in three fundamental pieces of work:

  1. Identifying Content and Concepts: Determining what is essential for students, considering who they are, what they need to learn, and how to structure it for success.
  2. Mapping the Learning Journey: Deciding how topics build on each other to support student learning over a single session or an entire term.
  3. Articulating Learning Objectives: Capturing what students should be able to do after a given session or by the end of the course.

Building a genuine collaborative partnership with AI can transform, not just streamline, these three tasks.

Task 1: Identifying Core Content and Concepts

When working with AI on identifying core content, the first step is to make smart Delegation decisions. This depends on your own subject-matter expertise and your goals. For example, you might have high-level topics and need help filling out details, or you might have specific concepts but need help organizing them.

The Power of Description

Next comes Description—inviting AI into your specific problem space. Instead of asking for "introductory statistics topics," try a prompt like:

"I'm building a stats course for journalism students who need data literacy but often come to me anxious about math or skeptical that statistics matter in their careers. Help me think through how to identify concepts that will help address these student concerns while building their confidence."

This creates a thinking space rooted in your actual pedagogical challenge rather than generic course planning.

Discernment and Diligence

As AI suggests ideas, use Discernment to evaluate them against your expertise. Don't just accept or reject; explain to the AI assistant why something works or doesn't in your context. By doing this, you are teaching your AI partner.

Throughout this process, maintain Diligence. You are not outsourcing decisions; you are taking responsibility for what ends up in front of your students. Document key decisions in your AI collaboration and share your thinking with your students to model responsible collaboration.

Task 2: Mapping the Learning Journey

Turning a list of topics into a coherent learning journey is where AI partnership becomes particularly interesting. Start with clear delegation: What aspects of this work can best be automated or augmented?

Interactive Role-Playing

An effective technique for mapping the journey is asking the AI to switch roles. You might say:

"Please act as one of my students. How would you react to this planned course at different points along the way? Where might you get confused? What background would you need at each stage?"

This interactive role-playing capability is like having a student focus group available at any time. Discernment helps you catch problems and recognize unexpected insights, while diligence ensures quality assurance and transparency.

Task 3: Defining Learning Objectives

Collaborating with AI lets us breathe new life into defining learning objectives. If you have been building context—sharing your knowledge, constraints, and goals—you have created a shared understanding of your course. If not, try uploading a course syllabus and describing your approach and teaching context to the AI.

Generative Conversations

Using this foundation, you can craft learning objectives that are accurate, meaningful, and aligned with institutional requirements. Because the process is faster, you can experiment more and try different approaches. You can even work with AI to map course outcomes to resume skills, which can be highly motivating for students.

The "Four Ds" Framework

The Four Ds (Delegation, Description, Discernment, and Diligence) are not just a checklist; they are a framework for building a genuine cognitive partnership.

  • Delegation: Deciding who does what.
  • Description: Providing rich, specific context.
  • Discernment: Critically evaluating AI output.
  • Diligence: Taking responsibility and being transparent.

This context-building approach works for any substantial planning task, including creating new courses from scratch, updating existing curriculum, or developing learning pathways. The real power of fluent AI collaboration comes from surfacing hidden assumptions, discovering creative connections, and maintaining coherence while exploring new ideas. By starting with the big picture and building context as you work through the details, you enhance your entire pedagogical practice.

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