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Advanced Learning Technologies, IEEE International Conference on (2007)
Niigata, Japan
July 18, 2007 to July 20, 2007
ISBN: 0-7695-2916-X
pp: 354-358
Juan I. Asensio-P?rez , University of Valladolid, Spain
Alejandra Mart?nez-Mon?s , University of Valladolid, Spain
Luis Palomino-Ram?rez , University of Valladolid, Spain
Miguel L. Bote-Lorenzo , University of Valladolid, Spain
Yannis A. Dimitriadis , University of Valladolid, Spain
ABSTRACT
Data flow between tools cannot be specified using the current IMS Learning Design specification (LD). Nevertheless by specifying this data flow between tools, several degrees of activity automation may augment the system intervention opportunities for data flow management. Service automation, data flow automation and data flow validation may enhance the continuity of the learning design realization, reduce the student?s cognitive load and obtain system-support for error prone situations. In this paper a novel approach based on the composition of LD and a standard workflow technology is proposed. Unlike other current approaches, our approach maintains interoperability with both LD and workflow standards. Then an architectural solution based on the composition approach is presented.
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CITATION
Juan I. Asensio-P?rez, Alejandra Mart?nez-Mon?s, Luis Palomino-Ram?rez, Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, "Data Flow between Tools: Towards a Composition-Based Solution for Learning Design", Advanced Learning Technologies, IEEE International Conference on, vol. 00, no. , pp. 354-358, 2007, doi:10.1109/ICALT.2007.110
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