Description Usage Arguments Details Value References See Also Examples

Computes learning paths in a knowledge structure.

1 | ```
lpath(x)
``` |

`x` |
An |

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.

A list where each element represents one learing path.

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

1 2 3 4 | ```
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 April 13, 2018, 5:06 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.