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. © 2002 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Coffey, J. W. (2002). An ontology-guided approach to content adaptation in LEO: A Learning Environment Organizer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2347 LNCS, pp. 380–383). Springer Verlag. https://doi.org/10.1007/3-540-47952-x_42
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