SPDECE 2012 : IX Multidisciplinary Symposium on the Design and Evaluation of Digital Content for Education
Call For Papers
The 9th edition of SPDECE aims at providing an open forum for educators and computer specialists to present and discuss research on the different aspects of Technology-Enhanced Learning and, SPDECE topics include, but are not limited to: new teaching and learning environments, content standards and metadata, learning objects and learning designs and repositories of learning resources.
SPDECE emphasizes inter-disciplinarity and multi-disciplinarity, fostering interchange between educational and learning sciences, computing and other disciplines. The event thus welcomes papers using a diversity of kinds of research methods, including but not limited to empirical studies, ICT developments, action research and experimental studies.
Call for papers
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SPDECE is accepting papers in two main tracks:
International track (submissions in English).
Iberoamerican track (submissions in Spanish or Portuguese).
Papers in both tracks will undergo rigorous peer review. Best papers submitted to the International track will be published in Elsevier's Procedia proceedings series. All the rest of the papers will be published in local proceedings in CDROM with ISBN.
Papers can be submitted in one of the following categories (for both tracks):
Full research papers (up to 12 pages)
Short research-in-progress papers (up to 8 pages)
Project presentations (up to 8 pages)
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April 23, 2012: Paper submission.
April 30, 2012: Notification of acceptance/rejection.
May 14, 2012: Final version submission.
June 13, 2012: SPDECE-2012 starts in Alicante, Spain.
Special issues in leading impact listed journals are being organized.
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Topics include but are not limited to:
* Learning object repositories: infrastructure, empirical studies, user studies.
* Standards and models in TEL: Applications and research on different standards and specifications (IEEE LOM, SCORM, IMS specs, MIT OKI, etc.)
* Artificial Intelligence in TEL: educational data mining, ontologies in TEL, personalized learning systems.
* Application of different TEL components: immersive on-line worlds, mobile learning, etc.