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Stochastic Learning Paths

In: Learning Spaces

Author

Listed:
  • Jean-Claude Falmagne

    (University of California, Irvine, Department of Cognitive Sciences, Institute of Mathematical Behavioral Sciences)

  • Jean-Paul Doignon

    (Université Libre de Bruxelles, Département de Mathématique)

Abstract

The stochastic theory presented in this chapter is more ambitious than those examined in Chapter 11. The description of the learning process is more complete and takes place in real time, rather than in a sequence of discrete trials. This theory also contains a provision for individual differences. Nevertheless, its basic intuition is similar, in that any student progresses through some learning path. As time passes, the student successively masters the items encountered along the learning path. The exposition of the theory given here follows closely Falmagne (1993, 1996). As before, we shall illustrate the concepts of the theory in the framework of an example. We star the title of this chapter because its concepts and results are not used elsewhere in this book.

Suggested Citation

  • Jean-Claude Falmagne & Jean-Paul Doignon, 2011. "Stochastic Learning Paths," Springer Books, in: Learning Spaces, chapter 12, pages 215-240, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-01039-2_12
    DOI: 10.1007/978-3-642-01039-2_12
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