We will meet each other, form groups, sketch out the course, and lay down some frameworks for thinking about the potential role of AI in education.

A conceptual overview of how large language models work, and a hands-on introduction to Retool.

Guest speaker presents case study of an AI education startup. Present and discuss initial conjectures. Introduction to HCI design methodologies and user research. Practical considerations and ethics of user research.

Decontextualized designs are a major reason computer-based interventions have failed to substantially shift classroom practice. We use activity theory to scope our designs and to frame the context for which we are designing.

Prototyping; methods of quickly iterating

Usability testing,

Guest speaker. In-class needfinding and concept iteration. Note: Needfinding was originally scheduled for Week 5, but we decided to take more time with user research.

Theorizing user needs in your domain. UI/UX and usability. Field study methods. App instrumentation. Preparation for critiques.

Workshop initial qualitative field study data. Introduce final paper assignment

Present prototypes to external critics for feedback. Reception with experts after critiques.

Workshop initial quantitative data analysis.

What to do?

• Data analysis workshop (bring field study data)
• Discussion: Learning Machines

Workshop final papers. (Bring drafts.) Share projects with each other. Prepare for expo. Futures for projects as research projects and commercial products.

Presentation of final projects, open to the public.