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Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…
Descriptors: Electronic Learning, Metadata, Computer System Design, Design Preferences
Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey – International Association for Development of the Information Society, 2013
The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…
Descriptors: Systems Development, Integrated Learning Systems, Resource Units, Electronic Learning
Sampson, D. G.; Zervas, P.; Chloros, G. – IEEE Transactions on Learning Technologies, 2012
A number of international initiatives, such as the Open Educational Resources initiative, have recognized the potential value of sharing and reusing digital resources among educational communities. As a result, organizing, offering, and accessing these resources over the web have been key issues for both the research and the educational community.…
Descriptors: Metadata, Profiles, Resource Units, Electronic Learning
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
Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan – Interactive Technology and Smart Education, 2012
Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…
Descriptors: Internet, Search Engines, Online Searching, Electronic Libraries
Yu, Hong Qing; Pedrinaci, C.; Dietze, S.; Domingue, J. – IEEE Transactions on Learning Technologies, 2012
Multimedia educational resources play an important role in education, particularly for distance learning environments. With the rapid growth of the multimedia web, large numbers of educational video resources are increasingly being created by several different organizations. It is crucial to explore, share, reuse, and link these educational…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Internet
Tam, Vincent – Interactive Technology and Smart Education, 2012
Purpose: Learning Chinese is unquestionably very important and popular worldwide with the fast economic growth of China. To most foreigners and also local students, one of the major challenges in learning Chinese is to write Chinese characters in correct stroke sequences that are considered as significant in the Chinese culture. However, due to…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Software
Dietze, Stefan; Gugliotta, Alessio; Domingue, John – International Journal of Distance Education Technologies, 2009
Current E-Learning technologies primarily follow a data and metadata-centric paradigm by providing the learner with composite content containing the learning resources and the learning process description, usually based on specific metadata standards such as ADL SCORM or IMS Learning Design. Due to the design-time binding of learning resources,…
Descriptors: Electronic Learning, Learning Processes, Educational Technology, Metadata
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Di Nitto, Elisabetta; Mainetti, Luca; Monga, Mattia; Sbattella, Licia; Tedesco, Roberto – Educational Technology & Society, 2006
E-learning has the potential to offer significant advantages over traditional classroom learning. However, it requires a complete redefinition of the dynamics of interaction between the various actors of a classroom. Moreover, in this context, the authoring of instructional material requires much more time than in traditional learning. Therefore,…
Descriptors: Computer System Design, Standards, Web Based Instruction, Electronic Learning
Dietze, Stefan; Gugliotta, Alessio; Domingue, John – Journal of Interactive Media in Education, 2007
IMS Learning Design (IMS-LD) is a promising technology aimed at supporting learning processes. IMS-LD packages contain the learning process metadata as well as the learning resources. However, the allocation of resources--whether data or services--within the learning design is done manually at design-time on the basis of the subjective appraisals…
Descriptors: Learning Strategies, Learning Processes, Metadata, Resource Allocation
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
Limanauskiene, Virginija; Stuikys, Vytautas – Electronic Journal of e-Learning, 2009
With the expansion of e-learning, the understanding and evaluation of already created e-learning environments is becoming an extremely important issue. One way to dealing with the problem is analysis of case studies, i.e. already created environments, from the reuse perspective. The paper presents a general framework and model to assess UNITE, the…
Descriptors: Electronic Learning, Communication Problems, Computer Assisted Instruction, Editing
Qu, Changtao; Nejdl, Wolfgang – Educational Technology & Society, 2004
Edutella is an RDF-based E-Learning P2P network that is aimed to accommodate heterogeneous learning resource metadata repositories in a P2P manner and further facilitate the exchange of metadata between these repositories based on RDF. Whereas Edutella provides RDF metadata repositories with a quite natural integration approach, XML metadata…
Descriptors: Metadata, Educational Resources, Models, Programming
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
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