Competence-Based Knowledge Space Theory as a Framework for Intelligent Metacognitive Scaffolding

被引：0
|
作者：
Steiner, Christina M. [1 ]
Albert, Dietrich [1 ]
机构：
[1] Graz Univ Technol, Knowledge Management Inst, Cognit Sci Sect, A-8020 Graz, Austria
来源：
ARTIFICIAL INTELLIGENCE IN EDUCATION | 2011年 / 6738卷
关键词：
self-regulated learning; metacognition; scaffolding; adaptation; Competence-based Knowledge Space Theory;
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：
To help learners in acquiring metacognitive skills that are necessary for successfully planning, monitoring, and regulating their learning, metacognitive support and scaffolding mechanisms are needed. Competence-based Knowledge Space Theory constitutes a theoretical framework mainly used for personalising learning to individual learners' domain-specific competence. The paper outlines how this theoretical framework can be utilized for adaptive metacognitive scaffolding tailored to individual learners' needs.
引用
收藏
页码：563 / 565
页数：3
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