A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds

被引：0
|
作者：
Gutierrez-Santos, Sergio [1 ]
Cocea, Mihaela [1 ]
Magoulas, George [1 ]
机构：
[1] Univ London Birkbeck Coll, London Knowledge Lab, London WC1N 3QS, England
来源：
INTELLIGENT TUTORING SYSTEMS, PART II | 2010年 / 6095卷
关键词：
case-based reasoning; exploratory learning environments; microworlds; adaptive feedback; DISCOVERY;
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：
This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds Interaction in microworlds is complex and unstructured, making the analysis of student. behaviour difficult and the provision of computer-based feedback challenging Our approach starts with the ellicitation of expected solutions to microworld tasks (both valid and common mistakes) to gene:late a case base This is used to evaluate the actions of students and provide adapted feedback
引用
收藏
页码：330 / 333
页数：4
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