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Deniz Kaya; Tamer Kutluca – Turkish Online Journal of Distance Education, 2024
This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific…
Descriptors: Electronic Learning, Mathematics Education, Bibliometrics, Content Analysis
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Rajabi, Enayat; Sanchez-Alonso, Salvador; Sicilia, Miguel-Angel; Manouselis, Nikos – British Journal of Educational Technology, 2017
Exposing eLearning objects on the Web of Data leads to sharing and reusing of educational resources and improves the interoperability of data on the Web. Furthermore, it enriches e-learning content, as it is connected to other valuable resources using the Linked Data principles. This paper describes a study performed on the Organic.Edunet…
Descriptors: Electronic Learning, Databases, Archives, Educational Resources
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Navarro, Antonio; Fernandez-Pampillon, Ana Ma.; Fernandez-Chamizo, Carmen; Fernandez-Valmayor, Alfredo – Educational Technology & Society, 2013
Electronic learning objects (LOs) are commonly conceived of as digital units of information used for teaching and learning. To facilitate their classification for pedagogical planning and retrieval purposes, LOs are complemented with metadata (e.g., the author). These metadata are usually restricted by a set of predetermined tags to which the…
Descriptors: Electronic Learning, Resource Units, Classification, Metadata
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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
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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
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Sasaki, Shiori; Watagoshi, Kiku; Takano, Kosuke; Hirashima, Kazuo; Kiyoki, Yasushi – Interactive Technology and Smart Education, 2010
Purpose: The purpose of this paper is to present the design and implementation of music courseware that features a music search system that uses impression keywords. The paper applies the courseware to "Kansei" (sensibility) development for elementary and junior high school students. The objectives of this courseware are to cultivate…
Descriptors: Foreign Countries, Music Education, Elementary School Teachers, Elementary School Students
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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
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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