Multiple agents for multiple representations

被引：0
|
作者：
Assis, A
Santos, J
Paiva, A
机构：
来源：
ARTIFICIAL INTELLIGENCE IN EDUCATION: KNOWLEDGE AND MEDIA IN LEARNING SYSTEMS | 1997年 / 39卷
关键词：
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：
It is widely documented that multiple representations of the same concept (or entity) allows students to get a better understanding of that concept. However, one of the main problems lies on how to trigger the learners to switch between them. The aim of our research is to explore a new way of building learning systems that lead students to explore different representations. The system here presented, Functionland, deals with this problem by using different agents, each one biased towards one type of representation.
引用
收藏
页码：559 / 561
页数：3
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