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ITS
2004
Springer
239views Multimedia» more  ITS 2004»
13 years 11 months ago
Detecting Student Misuse of Intelligent Tutoring Systems
Recent research has indicated that misuse of intelligent tutoring software is correlated with substantially lower learning. Students who frequently engage in behavior termed “gam...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
UM
2005
Springer
13 years 11 months ago
Using Learning Curves to Mine Student Models
This paper presents an evaluation study that measures the effect of modifying feedback generality in an Intelligent Tutoring System (ITS) based on Student Models. A taxonomy of the...
Brent Martin, Antonija Mitrovic
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
13 years 11 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
13 years 11 months ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul
EDM
2010
185views Data Mining» more  EDM 2010»
13 years 7 months ago
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
This paper demonstrates the generality of the hidden Markov model approach for exploratory sequence analysis by applying the methodology to study students' learning behaviors ...
Hogyeong Jeong, Gautam Biswas, Julie Johnson, Larr...