Data logged by educational data miners
(Notes from a discussion at the EDM workshop at ITS2006)

Absolute time; start, stop (both student and system actions)
Action label
Selection/Action targets
Input
Student ID
Session ID
Problem ID
Curriculum/Lesson ID
Type of help requested
Skill/ knowledge component
Raw vocal info
Assessment by embedded detectors
Overall assessment of action (help request, correct answer, misconception, etc.)
Structure of domain related to cur action
Size
Student model assessment
Context: other people involved
Physical location
Noise (auditory)
Level of challenge
Student demographics
Emotional measures (self-report or instrumented)
Other self-report measures (self-efficacy, interest in material, etc)
Subjunctive logging (what the system's other options were)
All potential student inputs
Biometric signals
everything that is possibly relevant but appropriate

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