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Title:
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INCA: AN INTELLIGENT COGNITIVE AGENT-BASED FRAMEWORK FOR ADAPTIVE AND INTERACTIVE LEARNING |
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Author(s):
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Liana Razmerita , Thierry Nabeth , Albert Angehrn , Claudia Roda |
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ISBN:
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972-98947-7-9 |
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Editors:
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Kinshuk, Demetrios Sampson and Pedro Isaías |
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Year:
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2004 |
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Edition:
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Single |
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Keywords:
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Cognitive agent, learning system, user modeling, personalized interaction, user-centered design. |
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Type:
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Full Paper |
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First Page:
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373 |
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Last Page:
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380 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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