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Issack, Santally Mohammad – European Journal of Open, Distance and E-Learning, 2011
Over the recent years, there has been a growing interest in Open Educational Resources (OER). A similar trend was observed about a decade ago in the concept of Learning Objects, which inevitably faded without really making an impact in real-world educational contexts. A number of repositories were created that contain thousands of learning…
Descriptors: Open Education, Online Courses, Educational Practices, Foreign Countries
Peer reviewedNesbit, John; Belfer, Karen; Vargo, John – Canadian Journal of Learning and Technology, 2002
Discusses the properties that distinguish learning object from other forms of educational software, including global accessibility, metadata standards, finer granularity and reusability, and their implications for evaluation. Proposes a convergent participation model for learning object evaluation and reviews other evaluation models that have been…
Descriptors: Courseware, Educational Resources, Evaluation Methods, Global Approach
Paramythis, Alexandros; Loidl-Reisinger, Susanne – Electronic Journal of e-Learning, 2004
This paper examines the sufficiency of existing e-Learning standards for facilitating and supporting the introduction of adaptive techniques in computer-based learning systems. To that end, the main representational and operational requirements of adaptive learning environments are examined and contrasted against current eLearning standards. The…
Descriptors: Electronic Learning, Educational Environment, Academic Standards, Design Requirements
Elci, Atilla – Turkish Online Journal of Educational Technology - TOJET, 2005
This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the…
Descriptors: Metadata, Electronic Learning, Programming Languages, Models

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