Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities.
Ran LiuKenneth R. KoedingerPublished in: EDM (2015)
Keyphrases
- learning rate
- residual error
- convergence rate
- learning algorithm
- error function
- hidden layer
- rapid convergence
- adaptive learning rate
- convergence speed
- multilayer neural networks
- learning environment
- machine learning
- activation function
- intelligent tutoring systems
- student learning
- training algorithm
- evolutionary algorithm
- convergence theorem
- support vector
- learning styles
- high accuracy
- weight vector
- state space
- learning opportunities
- cost function
- neural network
- delta bar delta