• Publications
  • Influence
The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
TLDR
It was found that the effect size of human tutoring was much lower than previously thought, and the effect sizes of intelligent tutoring systems were nearly as effective as human tutors.
The Behavior of Tutoring Systems
  • K. VanLehn
  • Computer Science
    Int. J. Artif. Intell. Educ.
  • 1 August 2006
TLDR
Although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar.
The Andes Physics Tutoring System: Lessons Learned
TLDR
The Andes system demonstrates that student learning can be significantly increased by upgrading only their homework problem-solving support, and its key feature appears to be the grain-size of interaction.
Mind Bugs: The Origins of Procedural Misconceptions
From the Publisher: As children acquire arithmetic skills, they often develop "bugs" - small, local misconceptions that cause systematic errors. Mind Bugs combines a novel cognitive simulation
Why Do Only Some Events Cause Learning During Human Tutoring?
Developers of intelligent tutoring systems would like to know what human tutors do and which activities are responsible for their success in tutoring. We address these questions by comparing episodes
Cognitive skill acquisition.
  • K. VanLehn
  • Business
    Annual review of psychology
  • 1996
TLDR
This review considers research conducted in the past ten years on cognitive skill acquisition and covers the initial stages of acquiring a single principle or rule, theInitial stages of acquire a collection of interacting pieces of knowledge, and the final stages of acquisition a skill, wherein practice causes increases in speed and accuracy.
Using Bayesian Networks to Manage Uncertainty in Student Modeling
TLDR
The basic mechanisms that allow Andes’ student models to soundly perform assessment and plan recognition, as well as the Bayesian network solutions to issues that arose in scaling up the model to a full-scale, field evaluated application are described.
On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks
TLDR
The knowledge structures represented in the student model are described and the implementation of the Bayesian network assessor is discussed, and a preliminary evaluation of the time performance of stochastic sampling algorithms to update the network is presented.
Repair Theory: A Generative Theory of Bugs in Procedural Skills
TLDR
A generative theory of bugs that claims that all bugs of a procedural skill can be derived by a highly constrained form of problem solving acting on incomplete procedures, characterized by formal deletion operations that model incomplete learning and forgetting.
Spoken Versus Typed Human and Computer Dialogue Tutoring
TLDR
It is found that changing the modality from text to speech caused large differences in the learning gains, time and superficial dialogue characteristics of human tutoring, but for computer tutoring it made less difference.
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