Learning design based on graphical knowledge-modelling

Educational Technology and Society

Volumn 9, Issue 1, 2006, Pages 97-112

  Paquette, Gilbert ^a   Léonard, Michel ^a   Lundgren Cayrol, Karin ^a   Mihaila, Stefan ^a   Gareau, Denis ^a  

^a Tel e University of Quebec   (Canada)

Author keywords

Competency based learning design; Educational modelling; Graphic languages; IMS LD; Knowledge modelling; Knowledge based systems; Learning design; Learning design repositories

Indexed keywords

EID: 32144464589     PISSN: 11763647     EISSN: 14364522     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. Ausubel, D. (1968). Educational psychology: A cognitive view, New York: Holt, Rinehart, & Winston.
2. Bloom, B. S. (1975). Taxonomy of Educational Objectives: The Classification of Educational Goals, New York, USA: D. McKay.
3. Breuker, J., & Van de Velde, W. (1994). CommonKads Library for Expertise Modelling, Amsterdam: IOS Press.
4. Chandrasekaran, B. (1987). Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks. Paper presented at the IJCAI-87 Conference, August 23-28, 1987, Milan, Italy.
5. Dansereau, D. F. (1978). The development of a learning strategies curriculum. In O'Neil Jr, H. F. (Ed.), Learning Strategies, New York, USA: Academic Press, 1-29.
6. Griffiths, D., Blat, J., Garcia, R., Vogten, H., & Kwong, K.-L. (2005). Learning Design Tools. In Koper, R. & Tattersall, C. (Eds.), Learning Design - A Handbook on Modelling and Delivering Networked Education and Training, Berlin: Springer, 109-136.
7. IMS-RDCEO (2002). IMS Reusable Definition of Competency or Educational Objective - Best Practice, 1.0 Final Specification, IMS Global Learning Consortium, Inc., retrieved November 2, 2005, http://www.imsglobal.org/ competencies/index.html.
8. IMS-LD (2003). IMS Learning Design. Information Model, Best Practice and Implementation Guide, Binding document, Schemas, retrieved November 2, 2005, from http://www.imsglobal.org/learningdesign/index.cfm.
9. IMS-SS (2003). IMS Simple Sequencing, 1.0 Final Specification, IMS Global Learning Consortium, Inc., retrieved November 2, 2005 from http://www. imsglobal.org/simplesequencing/index.html.
10. Koper, R. (2005). An Introduction to Learning Design, in Koper, R. & Tattersall, C. (Eds.), Learning Design - A Handbook on Modelling and Delivering Networked Education and Training, Berlin: Springer, 3-20.
11. Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of educational objectives: The classification of educational goals, Handbook II: Affective domain. New York, USA: Longman.
12. Martin, B. L., & Briggs L. (1986). The Affective and Cognitive Domains: Integration for Instruction and Research, New Jersey, USA: Educational Technology Publications.
13. McDermott, J. (1988). Preliminary steps towards a taxonomy of problem-solving methods. In Marcus, S. (Ed.), Automating Knowledge Acquisition for Expert Systems, Boston, MA, USA: Kluwer Academic, 225-255.
14. Paquette, G., De la Teja, I., Léonard, M., Lundgren-Cayrol, K., & Marino, O. (2005a). How to use an Instructional Engineering Method and a Modelling Tool. In Koper, R. & Tattersall, C. (Eds.), Learning Design - A Handbook on Modelling and Delivering Networked Education and Training, Berlin: Springer, 161-184.
15. Paquette,G., Marino, O., De la Teja, I., Léonard, M., & Lundgren-Cayrol, K. (2005b). Delivery of Learning Design: The Explor@ System's Case. In Koper, R. & Tattersall, C. (Eds.), Learning Design - A Handbook on Modelling and Delivering Networked Education and Training, Berlin: Springer, 311-326.
16. Paquette, G., Marino, O., De la Teja, I., Lundgren-Cayrol, K., Léonard, M., & Contamines J. (2005). Implementation and Deployment of the IMS Learning Design Specification. Canadian Journal of Learning Technologies, retrieved October 15, 2005 from http://www.cjlt.ca/content/vol31. 2/paquette.html.
17. Paquette, G., & Rosca, I. (2004). An Ontology-based Referencing of Actors, Operations and Resources in eLearning Systems. Paper presented at the 2nd International Workshop on Applications of Semantic Web Technologies for E-Learning, August 23-26, 2004, Eindhoven, The Netherlands.
18. Paquette, G. (2003). Instructional Engineering for Network-Based Learning, San Francisco: Pfeiffer/Wiley Publishing Co.
19. Paquette, G. (2002,). Modélisation des connaissances et des compétences, un langage graphique pour concevoir et apprendre, Québec, Canada: Presses de l'Université du Québec.
20. Paquette, G. (1999). Meta-knowledge Representation for Learning Scenarios Engineering. In Lajoie, S. & Vivet, M. (Eds.), Proceedings of AI-Ed'99 in AI and Education - Open learning environments, Amsterdam: IOS Press, 29-37.
21. Paquette, G. (1996). La modélisation par objets typés: une méthode de représentation pour les systèmes d'apprentissage et d'aide a la tâche, France: Sciences et techniques éducatives.
22. Paquette, G., Crevier, F., & Aubin, C. (1994). ID Knowledge in a Course Design Workbench. Educational Technology, 34 (9), 50-57.
23. Pitrat, J. (1993). Penser l'informatique autrement, Paris: Hermès.
24. Pitrat, J. (1991). Métaconnaissance, avenir de l'Intelligence Artificielle, Paris: Hermès.
25. Reigeluth, C. (1983). Instructional Theories in Action: Lessons Illustrating Selected Theories and Models, Hillsdale, NJ, USA: Lawrence Earlbaum.
26. RELOAD (2004). RELOAD Project, retrieved November 2, 2005 from http://www.reload.ac.uk.
27. Romiszowski, A J. (1981). Designing Instructional Systems, London: Kogan Page.
28. Schreiber, G., Wielinga, B., & Breuker, J. (1993). KADS - A Principled Approach to Knowledge-based System Development, San Diego: Academic Press.
29. Steels, L. (1990). Components of Expertise. AI Magazine, 11 (2), 29-49.