Inca: An Intelligent Cognitive Agent-Based Framework for Adaptive and Interactive Learning
Inca: An Intelligent Cognitive Agent-Based Framework for Adaptive and Interactive Learning
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Inca:基于智能认知代理的自适应和交互式学习框架
DOI:
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发表时间:
2004
期刊:
影响因子:
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通讯作者:
C. Roda
中科院分区:
文献类型:
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作者:
L. Razmerita;Thierry Nabeth;Albert A. Angehrn;C. Roda
This paper presents the design principles, development and implementation of an e-learning framework, called Intelligent Cognitive Agents (InCA). The InCA framework is an ontology driven system articulated according to three interrelated components: (1) a user ontology that covers various characteristics of the user and an inferred behavioral profile (2) a domain ontology, a set of interrelated concepts and learning objects, (3) different types of agents which access the user model and the knowledge elements in order to evaluate his/her level of adoption of knowledge sharing behaviors and to provide adapted interaction with the user. InCA is designed to support a user centered, interactive and collaborative model of learning. The InCA framework is exemplified in the Knowledge Intelligent Conversational Agents (KInCA) system: an e-learning platform to support the adoption of knowledge management practices with emphasis on knowledge sharing processes.