Curriculum Design Principles
When integrating AI into your curriculum, consider these research-based principles:
Constructive Alignment
- Learning outcomes
- Teaching activities
- Assessment methods
Strategic Initiatives
- Equity & Accessibility
- Inclusion & Diversity
- Decolonization
Continuous Improvement
- Regular assessment
- Student feedback
- Iterative refinement
Authentic Assessment Strategies
Rather than trying to "AI-proof" traditional assignments, consider authentic assessments that naturally encourage original thinking and real-world application:
Case Studies
Students analyze real scenarios and propose solutions
Example: Marketing students create campaign for local non-profit
Portfolio Development
Document process and progress over time
Example: Engineering students showing design iterations
Community Projects
Engage with actual community needs
Example: Urban planning solutions for local issues
Research Projects
Original research with real data
Example: Analyzing local environmental data
Key Benefits
- Naturally resistant to AI-generated content
- Develops real-world skills
- Encourages critical thinking
- Promotes student engagement
- Supports diverse learning styles
- More equitable assessment
Design Your Approach
Assignment Design
Design assignments that:
- Connect to real-world contexts
- Encourage personal reflection
- Value process as well as product
- Build transferable skills
- Allow creative approaches
Student Guidance
How will you help students:
- Understand appropriate use cases
- Develop AI literacy
- Practice critical thinking
- Access support resources
- Engage in self-assessment
Implementation Planning
Explore strategies for your context: