AI Education Domains
Comprehensive curriculum designed around the five core AI competency areas
1. Engaging with AI
Algorithmic & Computational Thinking
Engaging with AI
Build AI literacy through computational thinking programs teaching algorithmic reasoning, problem-solving, and programming concepts. Includes hands-on activities and practical AI tool integration for effective human-AI communication across all grade levels.
2. Creating with AI
Creativity & Innovation
Creating with AI
Establish creative learning programs demonstrating AI-enhanced art and innovation across disciplines. Integrate multimedia tools, AI workflows, problem-solving. Prepare learners for creative industries with project-based AI art, writing, and design.
3. Managing AI
Ethics, Society & Citizenship
Managing AI
Develop comprehensive ethics and digital citizenship programs addressing AI's societal impact. Teach responsible AI use, bias awareness, privacy considerations, governance, and ethical decision-making. Foster critical thinking for evaluating AI applications responsibly.
4. Designing AI
AI Systems & Design
Designing AI
Implement technical curricula covering AI system architecture and user-centered design principles. Establish hands-on prototyping labs exploring machine learning basics, algorithm selection, UX design, and practical AI development from data processing to deployment.
5. Decoding AI
Data & Pattern Literacy
Decoding AI
Build data literacy programs teaching analytical thinking, pattern recognition, data interpretation, statistical analysis, and AI decision-making. Includes visualization labs, workshops, machine learning, neural networks, modeling, trend analysis, and critical evaluation of AI outputs across disciplines.
Thanks for your interest! We'll notify you when IntelliPathways launches.