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» Analyzing learning concepts in intelligent tutoring systems
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ECAI
2008
Springer
14 years 11 months ago
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
AIEDU
2008
112views more  AIEDU 2008»
14 years 8 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
AIED
2009
Springer
14 years 7 months ago
Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Define
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain wher...
Philippe Fournier-Viger, Roger Nkambou, Engelbert ...
AIEDU
2005
98views more  AIEDU 2005»
14 years 9 months ago
The Andes Physics Tutoring System: Lessons Learned
The Andes system is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem so...
Kurt VanLehn, Collin Lynch, Kay G. Schulze, Joel A...
AIED
2007
Springer
15 years 4 months ago
Benefits of Handwritten Input for Students Learning Algebra Equation Solving
Building on past results establishing a benefit for using handwriting when entering mathematics on the computer, we hypothesize that handwriting as an input modality may be able to...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger