Curriculum Development

Building AI Fluency Curricula

This course is for academic faculty, instructional designers, and others who will teach AI Fluency in instructor-led settings. Teaching AI Fluency requires different preparation from using it — you need not only your own fluency but the ability to develop it in others.

Curriculum Design Principles

Effective AI Fluency curricula are:

• Competency-based: Organized around skills and abilities learners will demonstrate, not topics to cover
• Contextual: Grounded in learners' actual work and contexts rather than abstract AI concepts
• Iterative: Returned to over time as learners develop and as AI capabilities evolve
• Experiential: Built around hands-on practice with real AI tools, not just conceptual understanding
• Reflective: Creating structured opportunities for learners to examine their own AI interactions

Mapping to Learner Contexts

Different learner groups need contextually relevant AI Fluency curricula:

• Business students need cases and tools relevant to professional business contexts
• STEM students need application to research, coding, and technical analysis
• Humanities students need application to writing, analysis, and research
• K-12 teachers need pedagogy, assessment design, and age-appropriate applications

Starting curriculum development by deeply understanding your specific learner context — their current AI exposure, their career or learning goals, and the specific tasks AI will affect in their lives — produces much more effective curricula than starting from general AI concepts.

Scope and Sequencing

A full AI Fluency curriculum typically progresses through:

1. Foundations: what AI systems are, what they can and can't do
2. Effective use: how to communicate with AI to get good outputs
3. Critical evaluation: assessing AI output quality, accuracy, and appropriateness
4. Ethical application: considering impact, fairness, and appropriate use
5. Advanced applications: domain-specific and complex use cases
6. Integration: making AI fluency part of ongoing professional practice

Aligning with Existing Outcomes

AI Fluency doesn't need to be a standalone course. Often it integrates more effectively when woven into existing courses where it's directly relevant. Work to identify where AI Fluency competencies align with existing learning outcomes in your curriculum.