lpath: Learning Paths in a Knowledge Structure

In kst: Knowledge Space Theory

Learning Paths in a Knowledge Structure

Description

Computes learning paths in a knowledge structure.

Usage

  lpath(x)

Arguments

x	An R object of class kstructure.

Details

A learning path in a knowledge structure is a maximal sequence of knowledge states, which allows learners to gradually traverse a knowledge structure from the empty set {} (or any other bottom state) to the full set of domain problems Q. Mathematically, it is represented as a set of states.

lpath takes an arbitrary knowledge structure and computes all possible learning paths in the respective knowledge structure.

Value

A list where each element represents one learing path.

References

Doignon, J.-P., Falmagne, J.-C. (1999) Knowledge Spaces. Heidelberg: Springer Verlag.

See Also

kstructure

Examples

kst <- kstructure(set(set(), set("a"), set("b"), set("a","b"), 
   set("a","d"), set("b","c"), set("a","b","c"), set("a","b","d"), 
   set("b","c","d"), set("a","b","c","d"), set("a","b","c","d","e")))
lpath(kst)

kst documentation built on Oct. 24, 2022, 5:07 p.m.