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

页码：330 / 333

页数：4

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