An ontology-based adaptive learning system to enhance self-directed learning

Authors:
Mihye Kim;Sook-Young Choi
Affiliations:
Department of Computer Science Education, Catholic University of Daegu, Gyeonsansi, Gyeongbuk, South Korea;Department of Computer Education, Woosuk University, Jeonbuk, South Korea
Venue:
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Year:
2010

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Abstract

An adaptive learning system provides learning content customized to a student's needs and characteristics, such as in terms of knowledge level, preferences, and learning style. Individualization is essential for improved learning experiences. Here we propose such an adaptive learning system based on ontologies that can assemble highly personalized learning content from implied inter-ontology relationships, resulting in a seamless linking to a more enhanced self-directed learning environment. A prototype was developed for a biology content domain used by second-grade students in Korea. The system presented learning content through a visualized hierarchical interface to enhance student understanding.