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An Architecture for Candidacy in Adaptive eLearning Systems to Facilitate the Reuse of Learning Resources
PROCEEDINGS

, , , Trinity College Dublin, Ireland

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Phoenix, Arizona, USA ISBN 978-1-880094-50-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

Because of the significant time, money and effort devoted to creating online learning resources, one of the key challenges of producing this learning experience is to reduce the costs involved with authoring, re-authoring and re-purposing learning resources, i.e. any digital media that aids in the process of learning. The situation often arises whereby the portability of a developed learning resource will not be realized as the learning resource is not marked up in a standardized way. By applying a standards-oriented approach to learning resource candidacy potentially increases the reusability of that learning resource. The methodology of candidacy is the abstract grouping of learning resources with similar goals, objectives, learning style and possibly any other grouping criteria that may arise. Implementing candidacy with the multi-model approach can produce not only reusable learning resources but also reusable and durable adaptive courses.

Citation

Dagger, D., Conlan, O. & Wade, V. (2003). An Architecture for Candidacy in Adaptive eLearning Systems to Facilitate the Reuse of Learning Resources. In A. Rossett (Ed.), Proceedings of E-Learn 2003--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 49-56). Phoenix, Arizona, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 25, 2019 from .

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