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IRT Models for Learning With Item-Specific Learning Parameters
Albert Yu,
Jeffrey A. Douglas
Statistics
Psychology
Educational Psychology
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peer-review
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Dive into the research topics of 'IRT Models for Learning With Item-Specific Learning Parameters'. Together they form a unique fingerprint.
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Keyphrases
IRT Model
100%
Item-specific
100%
Specific Learning
100%
Learning Parameters
100%
Item Selection
42%
Item Difficulty
28%
Markov Chain Monte Carlo
28%
Growth Model
28%
Item Response Theory
14%
Simulation Study
14%
Selection Strategy
14%
Adaptive Selection
14%
Potential Gains
14%
New Item
14%
Measurement Model
14%
Formative Assessment
14%
Response Data
14%
Two-step Procedure
14%
Learning Rate
14%
Q-matrix
14%
Real Data Applications
14%
Matrix Structure
14%
Model Learning
14%
Empirical Data Analysis
14%
Spatial Reasoning
14%
Generated Data
14%
Learning Efficiency
14%
Randomized Response
14%
Linear Logistic Test Model
14%
One-parameter Logistic Model
14%
Mathematics
Markov Chain Monte Carlo
100%
Real Data
50%
Simulation Study
50%
Matrix (Mathematics)
50%
Logistic Model
50%
Response Data
50%
Step Procedure
50%
Psychology
Markov Chain Monte Carlo
100%
Learning Model
50%
Spatial Reasoning
50%