In any class, the schedule will change to meet the needs of the students taking the class. I can teach a million versions of CS398. I will chose the one most appropriate for the folks who chose to take the course.
| Week | Thursday |
|---|---|
| 1 |
Sept 10th 1: Welcome + Knowledge Tracing 30 min intro, then modeling ability and learning over time through chess ratings Optional Readings:
Lecture Slides — Chris Piech
Deep Knowledge Tracing — Piech, Bassen, Huang, Ganguli, Sahami, Guibas, Sohl-Dickstein
The Basics of Item Response Theory — Frank B. Baker
Discovering High-Quality Chess Puzzles with Offline Reinforcement Learning — Nie, Badrinath, Tomlin, Dai, Yip, Wang, Brunskill, Piech
|
| 2 |
Sept 17th 2: GenAI Grading & Insight Tracing Generative grading, DPO, small language models, Play2Grade, and tracing student insight |
| 3 |
Sept 24th 3: Adaptive In-Person Assessment Using student models to adapt oral exams and interviews in real time |
| 4 |
Oct 1st National Day No class |
| 5 |
Oct 8th 4: Case Study: Designing PAI Behind the scenes of launching Probability for AI, live |
| 6 |
Oct 15th 5: Teachable Agents & TeachNow Learning by teaching: students teaching an AI, and teachers helping in real time |
| 7 |
Oct 22nd 6: LLMs as a Judge Using LLMs to grade, rank, and evaluate open-ended work |
| 8 |
Oct 29th 7: Vibe Coding Educational Tools Rapidly building learning software with AI, ahead of your final project |
| 9 |
Nov 5th 8: Feedback on Process Giving feedback on how students work, not just what they produce |
| 10 |
Nov 12th 9: TBD |
| 11 |
Nov 19th 10: Working Day Final project work time |
| 12 |
Nov 26th Thanksgiving No class |
| 13 |
Dec 3rd 11: Final Project Presentations Last day of class! |