ai-augmented-teaching

What problem does it solve?

Educators struggle to integrate AI effectively into programming curricula, balancing AI assistance with foundational learning, and teaching ethical AI use. This Skill provides a structured framework to design AI-augmented learning experiences that prepare students for modern AI-assisted development workflows, ensuring they build independent capability and critical thinking.

Core Features & Use Cases

• Curriculum Design: Create lessons that teach prompt engineering, AI pair programming, and AI tool literacy.
• Balance Assessment: Evaluate lesson plans to ensure an appropriate balance between independent foundational work, AI-assisted practice, and independent verification.
• Ethical Guidelines: Establish clear policies for responsible AI use, preventing over-reliance and promoting academic integrity.
• Use Case: An educator needs to design a Python course where students use GitHub Copilot. This Skill helps them structure lessons to teach effective prompting, ensure students understand AI-generated code, and assess their independent coding skills.

Quick Start

Design an AI-integrated Python functions lesson for beginners, ensuring 40% foundational work, 40% AI-assisted practice, and 20% independent verification.