May 26, Monday
- 08:30-09:00 – Registration
- 09:00-11:30 – Educational Data Mining (EDM) Overview
- 11:30-13:30 – Lunch Break
- 13:30-14:00 – Introductions
- 14:00-15:00 – Introduction to EDM, RapidMiner
- 15:00-15:30 – Linear Regression
May 27, Tuesday
- 08:30-09:00 – Review of Previous Day
- 09:00-10:30 – Introduction to Affective Computing
- 10:30-12:00 – Introduction to BROMP and HART
- 12:00-13:30 – Lunch Break
- 13:30-14:30 – Mock Observation Session
- 14:30-15:30 – Incidence of Affect
- 15:30-16:30 – Inter-coder Reliability
May 28, Wednesday
- 08:30-09:00 – Review of Previous Day
- 09:00-10:30 – Decision Trees
- 10:30-12:00 – Clustering
- 12:00-13:30 – Lunch Break
- 13:30-16:30 – Cross-Validation
May 29, Thursday
- 08:30-09:00 – Review of Previous Day
- 09:00-12:00 – Performance Metrics
- 12:00-13:30 – Lunch Break
- 13:30-16:30 – Work on Group Project
May 30, Friday
- 08:30-09:00 – Review of Previous Day
- 09:00-12:00 – Work on Group Projects
- 12:00-13:30 – Lunch Break
- 13:30-14:30 – Work on Group Projects
- 14:30-16:00 – Project Presentations
- 16:00-16:30 – Awarding and Evaluation