Abstract
The standardization of eLearning environments is causing a constant evolution of the standards, the specifications, the reference models and the best practices of these specifications. Mainly, this evolution is a consequence of the educational and computational paradigms which the standardization applies and of the pedagogic and cognitive requirements of the learner using these environments. “Instructional Design” or “Learning Design” (LD) is an approach on specifications in the standardization process centred on cognitive characteristics and on the learning process itself. In this case, the learning process is isolated from the learning object design. This is, LD is centred on “how to learn”, not in “what to learn”. IMS Learning Design (IMS-LD) is the specification used to describe the learning design. We are working in the AULA_IE project whose objective is to evaluate different standards and to check their application and contribution in Computer Supported Collaborative Learning (CSCL) environments. As a consequence of this evaluation we have observed a lack of semantics when some activities and tasks are specified. Based on this result, we propose a reference model inside the IMS specifications core.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Caeiro, M., Anido, L., Lamas, M.: A critical analysis of IMS Learning Design. In: Wasson, B., Anido, L., Hoppe, U. (eds.) Proceedings of the International Conference on Computer Support for Collaborative Learning (CSCL 2003), pp. 363–367. Luwer Academic Publishers, Bergen (2003)
Hernández, D., Asensio, J.I., Dimitriadis, Y.S.: Computational Representation of Collaborative Learning Flow Patterns using IMS Learning Design. In: Educational Technology and Society, International Forum of Educational Technology and Society (IFETS), pp. 75–89 (2005)
Koper, R.: Modelling units of study from a pedagogical perspective. The pedagogical metamodel behind EML (2001), Online, http://eml.ou.nl/introduction/docs/ped-metamodel.pdf
Miao, Y., Hoeksema, K., Hoppe, U., Harrer, A.: CSCL Scripts: Modelling Feautres and Potential Use. In: Proceedings of Computer Supported Collaborative Learning (CSCL) conference (2005)
Koschmann, T., Erlbaum, L. (eds.): CSCL: Theory and practice of an emerging paradigm (1996)
Towle, B., Halm, M.: Designing Adaptive Learning Environments with Learning Design. In: Koper, R., Tattersall, C. (eds.) Learning Design. A Handbook on Modelling and Delivering Networked Education and Training, pp. 215–226. Springer, The Netherlands (2005)
IMS Learning Design. Information Model, Best Practice and Implementation Guide, XML Binding, Schemas. Version 1.0 Final Specification, Technical report, IMS Global Learning Consortium Inc(2003),Online, http://www.imsglobal.org/learningdesign/
IMS Simple Sequencing. Information Model, Best Practice and Implementation Guide, XML Binding, Schemas. Version 1.0 Final Specification, Technical report, IMS Global Learning Consortium Inc (2003), Online http://www.imsglobal.org/simplesequencing/
IMS Learner Information Package. Information Model, Best Practice and Implementation Guide, XML Binding, Schemas. Version 1.0 Final Specification, Technical report, IMS Global Learning Consortium Inc. (2001), Online http://www.imsglobal.org/profiles/
IMS Content Packaging, Best Practice and Implementation Guide, XML Binding, Schemas, Information Model. Version 1.2 Public Draft - Working Draft 4, Technical report, IMS Global Learning Consortium Inc. (2005), Online, http://www.imsglobal.org/content/packaging/
SCORM 2004. Overview. Technical report, ADL (Advanced Distributed Learning) (2004), Online, http://www.adlnet.gov/scorm/index.cfm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jurado, F., Redondo, M.A., Ortega, M. (2006). Specifying Collaborative Tasks of a CSCL Environment with IMS-LD. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2006. Lecture Notes in Computer Science, vol 4101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863649_38
Download citation
DOI: https://doi.org/10.1007/11863649_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44494-7
Online ISBN: 978-3-540-44496-1
eBook Packages: Computer ScienceComputer Science (R0)