An instructional strategy selection model based on agent and ontology for an intelligent tutoring system

J. Kim, Y. H. Shinn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper provides an agent based on an otology that helps instructors to guide the process of selecting teaching and learning strategies. We present an approach of ontology representation based on a novel architecture of agent-based simulation of teaching and learning process. We propose a conceptual architecture of such system. There are presented several aspects, how the usage of ontologies for selecting and utilization of instructional strategies to enhance power of thinking and problem solving, which can improve the efficiency of intelligent tutoring systems. Main attention is paid to the usage of ontologies for agent communication and formal description of learning components and processing strategies.

Original languageEnglish
Title of host publication24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010
Pages848-853
Number of pages6
DOIs
StatePublished - 2010
Event24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010 - Perth, Australia
Duration: 20 Apr 201023 Apr 2010

Publication series

Name24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

Conference

Conference24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010
Country/TerritoryAustralia
CityPerth
Period20/04/1023/04/10

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