An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor.
John C. StamperTiffany BarnesPublished in: EDM (2009)
Keyphrases
- markov decision processes
- intelligent tutoring systems
- unsupervised learning
- markov decision process
- tutoring system
- human tutors
- state space
- metric space
- data driven
- optimal policy
- linear programming
- distance metric
- semi supervised
- unsupervised manner
- distance measure
- evaluation metrics
- machine learning
- learning gains
- reinforcement learning
- initial state
- multi agent
- euclidean distance
- similarity metric
- metric learning
- low frequency
- selection algorithm
- planning under uncertainty
- dynamic programming algorithms
- distance function