2014
DOI: 10.1007/978-3-319-07248-7_1
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Learning Spaces, and How to Build Them

Abstract: Abstract. In Knowledge Space Theory (KST), a knowledge structure encodes a body of information as a domain, consisting of all the relevant pieces of information, together with the collection of all possible states of knowledge, identified with specific subsets of the domain. Knowledge spaces and learning spaces are defined through pedagogically natural requirements on the collection of all states. We explain here several ways of building in practice such structures on a given domain. In passing we point out so… Show more

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Cited by 10 publications
(6 citation statements)
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“…This construction of an antimatroid from a union-closed family was implicit in [11]. Its importance was recently recognized by [5,14] in the literature of Knowledge Space Theory (KST) [8]. We show that this antimatroid coincides with the above join-closed subset of shortest galleries between the two flags.…”
Section: Introductionmentioning
confidence: 89%
“…This construction of an antimatroid from a union-closed family was implicit in [11]. Its importance was recently recognized by [5,14] in the literature of Knowledge Space Theory (KST) [8]. We show that this antimatroid coincides with the above join-closed subset of shortest galleries between the two flags.…”
Section: Introductionmentioning
confidence: 89%
“…We thank Jean-Paul Doignon for helpful comments and references [14,16,27,35] of KST, and the referees for helpful comments and references [2,3,9,25] of implicational systems. We also thank Marcel Wild for remarks.…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…We present a simple revision of the QUERY algorithm to output an antimatroid. Our revision is obtained by replacing K(P) with A(P), and is understood as a concrete realization of Doignon's adjusted QUERY algorithm [14].…”
Section: Generating All Nontrivial Implicates Of A(r)mentioning
confidence: 99%
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