Item – Thèses Canada

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Numéro d'OCLC
751629766
Lien(s) vers le texte intégral
Exemplaire de BAC
Exemplaire de BAC
Auteur
Ross, William A.(William Andrew)
Titre
A method to facilitate automatic learning-object assembly.
Diplôme
M.C.S. -- University of New Brunswick, 2007
Éditeur
Ottawa : Library and Archives Canada = Bibliothèque et Archives Canada, [2010]
Description
2 microfiches
Notes
Includes bibliographical references.
Résumé
With the advent of the Web and its transition into 2.0, computer-based learning has shifted from stand-alone, proprietary applications to freely available Web pages and blogs/wikis. In response to this change, certain standards (e.g., Learning Object Metadata) have been introduced in an effort to catalogue these ubiquitous and diverse learning objects in a manner that will facilitate their retrieval, use, and evaluation. At present, it remains difficult to assemble such objects, especially if obtained from heterogeneous sources, into meaningful larger-scale units of learning (e.g., lesson or module). Relying on existing work as a foundation, this thesis combines recent research in learning-object representation, assembly, and evaluation into a novel assembly method with unique challenges needing to be overcome, as currently explored for the application domain of elementary geometry. A prototype has been built to assemble existing learning objects, from a repository of over 100 such objects (e.g., Web sites, video files, and pictures), based primarily on semantic metadata, into four geometric learning topics: perimeter, area, surface area, and volume. Given a user's desired topic and duration, a meaningful module able to manage prerequisite information is assembled from the repository. Furthermore, evaluative information is gathered in the form of user ratings to improve future assemblies. The result of this thesis is an assembly method that can assist educational researchers, teaching professionals, and self-learners in semantically organizing and assembling learning objects from existing repositories.
ISBN
9780494564677
0494564679