High Order Thinking Skills and Their Effect on Knowledge Accumulation

被引：0

作者：

Encheva, Sylvia ^{[1
]}

机构：

[1] Stord Haugesund Univ Coll, Bjornsonsg 45, N-5528 Haugesund, Norway

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS | 2016年 / 127卷

关键词：

logic; learning; graphs;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Knowledge and skills students gather for a period of time is difficult to estimate. Learning is effected by a number of factors and prior knowledge is among the very important ones. Despite existence of a substantial amount of tests for assessing newly obtained knowledge and skills, there is still a need to provide tailored responses to answers students submit by connecting those answers to their prior knowledge. Lattice structures prove themselves to be especially useful for unveiling dependences among various factors.

引用

页数：4

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