Extracting knowledge structures from observed data

被引：19
|
作者：
Schrepp, M
机构：
[1] Schwetzinger Straße 86
来源：
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY | 1999年 / 52卷
关键词：
D O I：
10.1348/000711099159071
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
How can we construct a knowledge structure for a given set of problems? A natural construction method is to collect a large set of response patterns to these problems and then extract the knowledge structure from the data. We describe an algorithm for the construction of a best-fitting knowledge structure from a given data set. The ability of the algorithm to reconstruct the correct knowledge structure from the data is tested in a simulation study. The results show that the algorithm is able to reconstruct the underlying knowledge structure with high accuracy if enough response patterns are available.
引用
收藏
页码：213 / 224
页数：12
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