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Constraint-based validation of adaptive e-learning courseware

Melia, Mark and Pahl, Claus (2009) Constraint-based validation of adaptive e-learning courseware. IEEE Transactions on Learning Technologies, 2 (1). pp. 37-49. ISSN 1939-1382

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Personalized e-learning allows the course creator to create courseware that dynamically adapts to the needs of individual learners or learner groupings. This dynamic nature of adaptive courseware makes it difficult to evaluate what the delivery time courseware will be for the learner. The course creator may attempt to validate adaptive courseware through dummy runs, but cannot eliminate the risk of pedagogical problems due to adaptive courseware’s inherent variability. Courseware validation checks whether adaptive courseware conforms to a set of pedagogical and nonpedagogical requirements. The validation of adaptive courseware limits the risk of pedagogical problems at delivery time. In this paper, we present our approach to adaptive courseware validation using the Courseware Authoring Validation Information Architecture (CAVIAr). We outline how CAVIAr captures adaptive courseware authoring concerns and validates courseware using a constraint-based approach. We also describe how CAVIAr can be integrated with the state of the art in adaptive e-learning and evaluate our validation approach.

Item Type:Article (Published)
Subjects:Social Sciences > Educational technology
Computer Science > World Wide Web
Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:
Copyright Information:© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16543
Deposited On:06 Sep 2011 14:17 by Claus Pahl. Last Modified 09 Feb 2017 14:12

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