Learning Sequences
@article{Eppstein2008LearningS,
title={Learning Sequences},
author={D. Eppstein},
journal={ArXiv},
year={2008},
volume={abs/0803.4030}
}We describe the algorithms used by the ALEKS computer learning system for manipulating combinatorial descriptions of human learners’ states of knowledge, generating all states that are possible according to a description of a learning space in terms of a partial order, and using Bayesian statistics to determine the most likely state of a student. As we describe, a representation of a knowledge space using learning sequences (basic words of an antimatroid) allows more general learning spaces to… CONTINUE READING
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References
SHOWING 1-10 OF 23 REFERENCES
Applying the basis of a knowledge space for controlling the questioning of an expert
- Psychology
- 1993
- 42
An algorithmic characterization of antimatroids
- Computer Science, Mathematics
- Discret. Appl. Math.
- 1990
- 35
- PDF
Correspondence between two Antimatroid Algorithmic Characterizations
- Mathematics, Computer Science
- Electron. J. Comb.
- 2003
- 18
- PDF