Comparing Student Models in Different Formalisms by Predicting their Impact on Help Success
type: Dataset
contact point: Organization
  fn: CCSD
keyword: classification
keyword: infoeiahcomputer-science-cstechnology-for-human-learning
keyword: help-policy
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: shseduhumanities-and-social-scienceseducation
keyword: knowledge-tracing
keyword: student-models
landing page: AIED 2013 - 16th International Conference on Artificial Intelligence in Education
description: Session: Student Modeling & Personalization
issued: 2026-05-09T10:21:19.626832
language: en
modified: 2026-05-09T10:21:19.626837

test_moissonnage_selune
type: Agent

Comparing Student Models in Different Formalisms by Predicting their Impact on Help Success
type: Distribution
access URL: https://hal.science/hal-00871563
format: HTML
issued: 2026-05-09T10:21:19.633279
modified: 2026-05-09T10:21:19.616215