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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
Data Flow between Tools: Towards a Composition-Based Solution for Learning Design
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
Luis Palomino-Ram?rez, University of Valladolid, Spain
Alejandra Mart?nez-Mon?s, University of Valladolid, Spain
Miguel L. Bote-Lorenzo, University of Valladolid, Spain
Juan I. Asensio-P?rez, University of Valladolid, Spain
Yannis A. Dimitriadis, University of Valladolid, Spain
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.
Citation:
Luis Palomino-Ram?rez, Alejandra Mart?nez-Mon?s, Miguel L. Bote-Lorenzo, Juan I. Asensio-P?rez, Yannis A. Dimitriadis, "Data Flow between Tools: Towards a Composition-Based Solution for Learning Design," icalt, pp.354-358, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
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