generated. Figure 3 shows a scenario graphically
realized with this editor (the human-readable
« view » ; because the scenario is concretely
serialized in a machine-interpretable format (XMI)).
6 CONCLUSIONS
We have presented and discussed a specific MDE
application for scenario-based instructional design.
The originality of our proposition resides in the three
categories for learning scenarios and languages: they
reflect different communities of practices sharing a
same business learning domain towards specific
objectives. We also propose a two-part division for
each category to distinguish the targeted public:
human or machines.
We have then argued our current orientation
about DSM techniques and tools. DSM is a model-
based approach giving domain experts the freedom
to use structures and logic that are specific to their
learning domain. Another originality of our position
is that we do not aim to provide practitioners with
yet another VIDL with its dedicated editor but we
aim to provide them with techniques and tools that
help and support them in specifying and building the
VIDL and editors they need.
We have also illustrated our first results about
the use of the GMF from the Eclipse project. These
first results have proved the ability of such DSM
tools to build specific VIDL and to generate user-
friendly dedicated editors. We are currently
improving our experiments of the DSM tools. We
are also experimenting model transformations tools
in order to support the design of 'bridges' between
different learning scenario communities of practices.
ACKNOWLEDGEMENTS
These works are funded by the French MILES project and
the ANR LEA project.
REFERENCES
Abdallah, F., Toffolon, C., Warin, B., 2008. Models
transformation to implement a Project-Based
Collaborative Learning (PBCL) scenario: Moodle case
study. In Proceedings of ICALT'08. Santender, Spain,
IEEE. To appear.
Bézivin, J., Gérard, S., Muller, P-A, Rioux, L., 2003.
MDA components: Challenges and Opportunities. In:
Metamodelling for MDA.
Botturi, L., Todd Stubbs, S., 2007. Handbook of Visual
Languages for Instructional Design: Theories and
Practices. Information Science Reference. ISBN-13:
978-1599047317.
Caron, P.-A., 2007. Web services plug-in to implement
"Dispositives" on Web 2.0 applications. In
Proceedings of EC-TEL'07. Crete, Greece. Springer
LNCS.
Dodero, J. M., Díez, D., 2006. Model-Driven Instructional
Engineering to Generate Adaptable Learning
Materials. In Proceedings of ICALT'06, Kerkrade, The
Netherlands: IEEE.
Dodero, J.-M., Tattersall, C., Burgos, D., Koper, R., 2007.
Non-representational authoring of learning designs:
from idioms to model-driven development. In
Proceedings of ICWL'07.
Eclipse, The Eclipse Graphical Modeling Framework,
http://www.eclipse.org/gmf/, retrieved from 2008.
IMS, 2003. Learning Design Version 1.0 Final
Specification. Technical report.
Kelly, S, Tolvanen, J.-P. 08. Domain-Specific Modeling.
ISBN: 978-0-470-03666-2. Paperback. 427 pages.
March 2008. Wiley-IEEE Computer Society Press.
Kinshuk, Sampson D.G., Patel A., Oppermann R. (Eds),
2006. Special issue: Current Research in Learning
Design. Journal of ET&S. V(9)-1.
Laforcade, P., 2005. Towards a UML-based Educational
Modeling Language. In Proceedings of ICALT'05.
Kaohsiung (Taiwan), p. 855-859.
Laforcade, P., 2007. Graphical representation of abstract
learning scenarios: the UML4LD experimentation. In
Proceedings of ICALT'07. Niigata (Japan). pp. 477-
479.
Laforcade, P., Nodenot, T., Choquet, C., Caron, P.-A.,
2007. MDE and MDA applied to the Modelling and
Deployment of Technology Enhanced Learning
Systems: promises, challenges and issues. Architecture
Solutions for E-Learning Systems. Claus Pahl (ed.).
Martel, C., Vignollet, L., Ferraris, C., 2007. LDL for
Collaborative Activities. In Handbook of Visual
Languages for Instructional Design: Theories and
Practices, Information Science Reference, ISBN-13:
978-1599047317.
OMG, 2001. MDA specification guide version 1.0.1.
Report – omg/03-06-01.
Paquette, G., Léonard, M., Lundgren-Cayrol, K., Mihaila,
S., Gareau, D., 2006. Learning Design based on
Graphical Knowledge-Modeling. Educational
Technology & Society, 9 (1), 97-112.
Schmidt, D.C., 2006. Model-Driven Engineering, IEEE
Computer, 39 (2).
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