Abstract
Suppose that, having applied the techniques described in the preceding chapters1, we have obtained a particular knowledge structure. We now ask: how can we uncover, by appropriate questioning, the knowledge state of a particular individual? Two broad classes of stochastic assessment procedures are described in this chapter and the next one.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
J. Aczél. Lectures on Functional Equations and their Applications. Academic Press, New York and San Diego, 1966.
R.R. Bush and F. Mosteller. Stochastic Models for Learning. John Wiley, New York, 1955.
M. Kambouri. Knowledge assessment: A comparison between human experts and computerized procedure. PhD thesis, New York University, New York, 1991.
R. Kimbal. A self-improving tutor for symbolic integration. In D. Sleeman and J.S. Brown, editors, Intelligent Tutoring Systems, volume 1 of Computer and People Series. Academic Press, London, 1982.
M. Landy and R.A. Hummel. A brief survey of knowledge aggregation methods. In Proceedings, 1986 International Conference on Pattern Recognition, pages 248–252, 1986.
R.D. Luce. Some one-parameter families of learning operators. In R.C. Atkinson, editor, Studies in Mathematical Psychology, pages 380–398. Stanford University Press, Stanford, CA, 1964.
A.A.J. Marley. Abstract one-parameter families of learning operators. Journal of Mathematical Psychology, 4:414–429, 1967.
M.F. Norman. Markov Processes and Learning Models. Academic Press, New York, 1972.
M. Villano, J.-Cl. Falmagne, L. Johannesen, and J.-P. Doignon. Stochastic procedures for assessing an individual’s state of knowledge. In Proceedings of the International Conference on Computer-assisted Learning in Post- Secondary Education, Calgary 1987, pages 369–371, Calgary, 1987. University of Calgary Press.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Falmagne, JC., Doignon, JP. (2011). Uncovering the Latent State: A Continuous Markov Procedure. In: Learning Spaces. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01039-2_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-01039-2_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01038-5
Online ISBN: 978-3-642-01039-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)