4. Designing AI tools

Week 4 (February 16)

Assigned: B. User research

Design frameworks and introduction to how AI works.

Agenda

• Housekeeping
  • AI in the news: Breaking the spell of vibe coding.
• Discuss design frameworks (readings from last week). Assumptions underlying human-centered design, task-centered design, learning-centered design and methodological implications.
• AI design workshop: Ideation and iteration.
• Hands-on introduction to machine learning: TinyLM.

Want to go deeper?

Neural networks: Zero to hero, the best introduction to machine learning, which claims to require only "basic knowledge of Python and a vague recollection of calculus from high school." This goes deeper than we will have time for in this course, but I'd be happy to support you if you want to dive in.

This course is taught by Andrej Karpathy, one of the most important people in creating our current AI moment. He co-founded OpenAI (the company behind ChatGPT) and led AI research at Tesla. What I particularly admire about him is that he has now shifted his focus to education, helping people learn about machine learning and AI.

• Large Language Models in Education
• Assignments
• Schedule
• 1. (Snow day)
• 2. Introductions
• 3. Design frameworks
• 4. Designing AI tools
• 5. Designing for/in context
• 6. How do LLMs work?
• 7. Prototyping
• 8. Planning a field study
• 9. Critiques
• 10. Field study design
• 11. Quantitative data analysis
• 12. Data analysis workshop
• 13. Writing workshop
• 14. LLMs in Education Expo