-------- Original-Nachricht -------- Betreff: [WI] Special Issue on eLearning and Linked Open Data Datum: Mon, 6 Oct 2014 18:51:13 -0600 Von: Sabine Graf sabine.graf@ieee.org Antwort an: Sabine Graf sabine.graf@ieee.org An: wi@aifb.uni-karlsruhe.de
Call For Articles: Special Issue of the Bulletin of the Technical Committee on Learning Technology
?eLearning and Linked Open Data?
Guest Editors:
Salvador Sanchez-Alonso and Enayat Rajabi Information Engineering research unit University of Alcalá, Spain {salvador.sanchez, enayat.rajabi}@uah.es
With the proliferation of e-learning resources on the Web, exposing, and sharing educational resources in digital form has become an important issue. Many of these resources are implicitly related to each other or to the interest, cultural and technical environment of learners. Connecting different kinds of learning objects promotes a new scenario where currently isolated data repositories would progress towards an open discovery space including resources independent of their geographic and system boundaries. Finding links is also very useful for enriching educational materials and provides the added benefit of giving access to richer contents to both educators and learners. The Linked Data approach, as a de facto standard for interlinking data on the Web, includes a set of successful principles which facilitate sharing and reusing data on the Web and lead to vast amounts of publicly available datasets. Using Linked Data, the repository owners can publish structured data and establish typed links among them from various sources. This approach enables enriching existing resources, enhances casual discovery, and improves resource discovery. However, applying the Linked Data in eLearning contexts needs more research attention and many aspects remain largely unexplored.
This special issue discusses how the Linked Data approach can be applied for sharing, reusing and enriching the eLearning resources on the Web and what advantages it can bring to the eLearning stakeholders.
The Bulletin of the Technical Committee on Learning Technology publishes articles, project reports, and case studies which may be of interest to academics, researchers, and professionals involved in the field of existing and emerging learning technologies.
This special issue will be published in Volume 16, No 4 (October, 2014).
Submission procedure ? Articles, case studies and project reports can be submitted to this special issue. Manuscripts are limited to 4 pages. Use the IEEE template for preparing your manuscript and follow the IEEE guidelines. The IEEE template is available online at: http://www.ieeetclt.org/content/authors-guidelines manuscripts should be either in Word or in RTF format, with any figures embedded in the text at appropriate places. In addition, figures used in the contributions should be provided in separate graphics files (gif, bmp, or jpeg files). ? Please send the manuscripts and all relevant material by email as an attachment to salvador.sanchez@uah.es and enayat.rajabi@uah.es (Please user subject line: IEEE-TCLT Bulletin Submission). ? In the email, please state clearly that the manuscript is original material that has not been published, and is not being considered for publication elsewhere.
Important Dates Deadline for submission of articles: October 31, 2014. Notification of review results: November 15, 2014.
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