Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15037-1_9 | PKAW |
Keywords | Field | DocType |
ontology-based adaptive,second-grade student,visualized hierarchical interface,improved learning experience,knowledge level,implied inter-ontology relationship,student understanding,biology content domain,personalized learning,self directed learning,adaptive learning | Robot learning,Experiential learning,Active learning (machine learning),Computer science,Action learning,Synchronous learning,Artificial intelligence,Personalized learning,Learning environment,Adaptive learning,Multimedia,Machine learning | Conference |
Volume | ISSN | ISBN |
6232 | 0302-9743 | 3-642-15036-5 |
Citations | PageRank | References |
4 | 0.52 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihye Kim | 1 | 74 | 14.31 |
| Sook-young Choi | 2 | 11 | 3.79 |