Building a Knowledge Space

Jean-Claude Falmagne () and Jean-Paul Doignon ()
Additional contact information
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

Chapter 15 in Learning Spaces, 2011, pp 297-333 from Springer

Abstract: Abstract In the two preceding chapters, we have described assessment procedures for uncovering the knowledge state of a student in a scholarly topic. Such a knowledge state is one among possibly many states forming a knowledge structure for the topic. We now turn to the problem of building a knowledge structure in practice. In this chapter, we deal with the case of knowledge spaces, that is, union-closed knowledge structures. Methods for building learning spaces are considered in Chapter 16. They are based in part on the techniques of this chapter, which is sensible because learning spaces are particular knowledge spaces (cf. Theorem 2.2.4).

Keywords: Knowledge Structure; Discrepancy Distribution; Target Structure; Knowledge State; Open Query (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-01039-2_15

Ordering information: This item can be ordered from
http://www.springer.com/9783642010392

DOI: 10.1007/978-3-642-01039-2_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().