Michael V. Yudelson

International Conference on Artificial Intelligence in Education · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Michael V. Yudelson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Albert T. Corbett
  2. Z. Pardos
  3. Ryan Shaun Joazeiro de Baker
  4. John R. Anderson
  5. Neil Heffernan III

Who trusts Michael V. Yudelson overall

  1. Ghodai M. Abdelrahman
  2. Aritra Ghosh
  3. C. Piech
  4. Qing Wang
  5. Neil Heffernan III
  6. Chun-Kit Yeung

Papers from Michael V. Yudelson's perspective

Ordered by how strongly the researchers Michael V. Yudelson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
  2. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (International Conference on Intelligent Tutoring Systems)
  3. Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing (User Modeling, Adaptation, and Personalization)
  4. Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor (International Journal of Artificial Intelligence in Education)
  5. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
  6. Limitations of Student Control: Do Students Know When They Need Help? (International Conference on Intelligent Tutoring Systems)
  7. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  8. Addressing two problems in deep knowledge tracing via prediction-consistent regularization (ACM Conference on Learning @ Scale)
  9. Performance Factors Analysis - A New Alternative to Knowledge Tracing (International Conference on Artificial Intelligence in Education)
  10. Deep Knowledge Tracing

Their papers