An Ontology-Guided Approach to Content Adaptation in LEO: A Learning Environment Organizer

Authors:
John W. Coffey
Affiliations:
-
Venue:
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2002

Citing 6
Cited 0

Logical foundations of artificial intelligence

Logical foundations of artificial intelligence
Multidimensional similarity structure analysis

Multidimensional similarity structure analysis
A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A Survey on Case-Based Planning

Artificial Intelligence Review
Adaptive Hypermedia

User Modeling and User-Adapted Interaction
El-Tech: A Performance Support System with Embedded Training for Electronics Technicians

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes new capabilities of a nonlinear course presentation program entitled LEO: a Learning Environment Organizer. A Knowledge-based Instructional Assistant combines knowledge of the learner's attainment with knowledge of various attributes of the instructional media in order to make recommendations of media that might benefit the learner. This work describes an ontology to represent the basic conceptualization of the learning system, and how that representation is used to match potentially useful instructional content to student profiles. Recommendations of media are based upon multi-parameter similarity measures between media content and capability attainment.