Abstract
Delivery models are important because they represent the actors, their operations and interactions, and the resources represent the use or product for other actors when the system operates in the future. Without sufficient planning, distributed learning environments will generally present high levels of technical and organisational noise that are an obstacle to learning. We will present a delivery model technique which aims to solve these problems, especially in the context of flexible life-long learning and distributed professional development systems.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35615-0_52
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Booch, G., Jacobson, J. and Rumbaugh, I. (1999) The Unified Modelling Language User Guide. Boston, MA: Addison-Wesley
Harmbrech (2001) Corporate e-learning: Exploring new frontiers. Available from: WR Harmbrech + Co. elearning@wrhambrecht.com
Koper, R. (2001) Modelling units of study from a pedagogical perspective — The pedagogical metamodel behind EML. (Available at http://www.eml.ou.nl/introduction/articles.htm)
Lemoigne, J.L. (1995). Les épistémologies constructivistes. PUF: Que sais-je?
McGraw, K.L. and Harbisson-Briggs, K. (1989) Knowledge Acquisition. Upper Saddle River, New Jersey: Prentice-Hall
Merrill, M.D. (1994) Principles of Instructional Design. Englewood Cliffs, New Jersey: Educational Technology Publications
Paquette, G. (1996) La modélisation par objets typés: une méthode de représentation pour les systèmes d'apprentissage et d'aide a la tâche. Sciences et techniques éducatives, 9 - 42
Paquette, G. (1999) Meta-knowledge Representation for Learning Scenarios Engineering. In S. Lajoie and M. Vivet (eds.) Proceedings of AI-Ed'99 in AI and Education, open learning environments. IOS Press
Paquette, G. (2001) TeleLearning Systems Engineering — Towards a new ISD model. Journal of Structural Learning, 14, 1 - 35
Paquette, G., Aubin, C. and Crevier, F. (1999) MISA, A Knowledge-based Method for the Engineering of Learning Systems. Journal of Courseware Engineering, 2
Paquette, G. and Rosca I. (unpublished) Modelling the Delivery Physiology of Distributed Learning Systems. Paper submitted to Technology, Instruction, Cognition and Learning, April 2002.
Paquette, G., Rosca,I., De la Teja, I., Léonard, M. and Lundgren-Cayrol, K. (2001) Web-based Support for the Instructional Engineering of E-learning Systems. WebNet'01 Conference, Orlando.
Paquette, G. and Roy, L. (1990) Systèmes à base de connaissances. Télé-université et Beauchemin, Montréal.
Reigeluth, C. (1983) Instructional Theories in Action: Lessons Illustrating Selected Theories and Models. Hillsdale, NJ: Lawrence Earlbaum
Schreiber, G., Wielinga, B. and Breuker, J. (1993) KADS — A Principled Approach to Knowledge-based System Development. San Diego: Academic Press
Simon, H.A. (1981) The sciences of the artificial. Cambridge Mass: The MIT Press
Spector, J.M., Poison M.C. and Muraida D.J. (eds.) (1993) Automating Instructional Design, Concepts and Issues. Englewood Cliffs, New Jersey: Educational Technology Publications
Wiley, D.A. (2002) Connecting learning objects to Instructional design theory: a definition, a methaphor, and a taxonomy. In D.A. Wiley (ed.) The Instructional Use of Learning Objects. Bloomington, Indiana: Agency for Instructional Technology and Association for Educational Communications of Technology
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Paquette, G. (2002). Modelling and delivering distributed learning environments. In: Passey, D., Kendall, M. (eds) TelE-Learning. IFIP WCC TC3 2002. IFIP — The International Federation for Information Processing, vol 102. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35615-0_34
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DOI: https://doi.org/10.1007/978-0-387-35615-0_34
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-6695-0
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