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Hsu, I-Ching – Educational Technology & Society, 2012
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Descriptors: Electronic Learning, Metadata, Knowledge Representation, Artificial Intelligence
Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik – Educational Technology & Society, 2012
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…
Descriptors: Foreign Countries, Computer Uses in Education, Information Technology, Open Source Technology
Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-Compliant Documents in e-Learning Grids
Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung – Educational Technology & Society, 2008
With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents…
Descriptors: Metadata, Information Retrieval, Indexing, Classification
Shih, Wen-Chung; Tseng, Shian-Shyong – Educational Technology & Society, 2009
With the rapid development of wireless communication and sensor technologies, ubiquitous learning has become a promising solution to educational problems. In context-aware ubiquitous learning environments, it is required that learning content is retrieved according to environmental contexts, such as learners' location. Also, a learning content…
Descriptors: Educational Strategies, Information Retrieval, Teaching Methods, Metadata
van Assche, Frans; Duval, Erik; Massart, David; Olmedilla, Daniel; Simon, Bernd; Sobernig, Stefan; Ternier, Stefaan; Wild, Fridolin – Educational Technology & Society, 2006
The Web puts a huge number of learning resources within reach of anyone with Internet access. However, many valuable resources are difficult to find due to the lack of interoperability among learning repositories. In order to achieve interoperability, implementers require a common query framework. This paper discusses a set of methods referred to…
Descriptors: Internet, Resource Units, Online Searching, Information Retrieval
Linsey, Tim; Tompsett, Christopher – Educational Technology & Society, 2007
It seems a foregone conclusion that repositories for reusable learning objects (RLOs), based on common standards and supported by suitable search facilities, will foster a global economic market in the production of RLOs. Actual reuse will support producers of high-quality RLOs, and other producers will be unable to compete, i.e. competition…
Descriptors: Search Engines, Instructional Materials, Economic Factors, Competition
Henze, Nicola; Dolog, Peter; Nejdl, Wolfgang – Educational Technology & Society, 2004
The challenge of the semantic web is the provision of distributed information with well-defined meaning, understandable for different parties. Particularly, applications should be able to provide individually optimized access to information by taking the individual needs and requirements of the users into account. In this paper we propose a…
Descriptors: Access to Information, Metadata, Internet, Educational Resources
Brase, Jan; Painter, Mark – Educational Technology & Society, 2004
Learning Objects Metadata (LOM) aims at describing educational resources in order to allow better reusability and retrieval. In this article we show how additional inference rules allows us to derive additional metadata from existing ones. Additionally, using these rules as integrity constraints helps us to define the constraints on LOM elements,…
Descriptors: Inferences, Metadata, Information Retrieval, Standards
Yang, Stephen J. H.; Chen, Irene Ya-Ling; Shao, Norman W. Y. – Educational Technology & Society, 2004
The nature of collaborative learning involves intensive interactions among collaborators, such as articulating knowledge into written, verbal or symbolic forms, authoring articles or posting messages to this community's discussion forum, responding or adding comments to messages or articles posted by others, etc. Knowledge collaborators'…
Descriptors: Knowledge Management, Information Retrieval, Cooperative Learning, Documentation
Abel, Marie-Helene; Benayache, Ahcene; Lenne, Dominique; Moulin, Claude; Barry, Catherine; Chaput, Brigitte – Educational Technology & Society, 2004
E-learning leads to evolutions in the way of designing a course. Diffused through the web, the course content cannot be the direct transcription of a face to face course content. A course can be seen as an organization in which different actors are involved. These actors produce documents, information and knowledge that they often share. We…
Descriptors: Course Content, Internet, College Instruction, Models