ASSISTments 2009-2010 Data

Source

Action-Time-Series Notes

  • Dataset type: intelligent tutoring/student interaction sequences.
  • Temporal structure: student problem-solving interactions over school time.
  • Actions or interventions: attempts, hints, first action type, problem assignments, and tutor interaction features depending on release.
  • Suitability: useful for student knowledge-state dynamics; action granularity varies by release.

Foundation TSFM Relevance

Agenda slotVerdictEvidenceMissing pieces
Latent-state predictionadjacentStudent knowledge state is the natural hidden variable behind the problem-solving event stream.Needs richer observed state and benchmark targets beyond tutoring-specific response prediction.
Causal structure, counterfactuals, and controladjacentAttempts, hints, first action type, and problem assignments expose action-like tutoring events.Needs typed intervention semantics, randomized policy traces, and counterfactual outcome labels.
Time representation and irregular event streamspartially closesThe dataset is a timestamped student-interaction stream rather than a fixed-rate sensor panel.Needs a standard event-stream representation aligned with numeric TSFM inputs.