Automatic Generation of User Adapted Learning Designs: An AI-Planning Proposal

  • Lluvia Morales
  • Luis Castillo
  • Juan Fernandez-Olivares
  • Arturo Gonzalez-Ferrer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)

Abstract

A Learning Design(LD) definition under the IMS-LD standard is a complex task for the instructor because it requires a lot of time, effort and previous knowledge of the students group over which will be defined the knowledge objectives. That is why, taking advantage from diffusion of learning objects(LO) labeling using IMS-MD standard, we have proposed to realize a knowledge engineering process, represented as an algorithm, over LO labels and user profiles to automaticaly define a domain that will be used by an intelligent planner to build a LD. This LD will be finally implemented in the ILIAS Learning Management System(LMS).

Keywords

Planning and Scheduling e-learning IMS standars Automatic Generation of Planning Domains 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    IEEE Standard for Learning Objects Metadata, http://ltsc.ieee.org/wg12/
  2. 2.
    Camacho, D., R-Moreno, M.D., Obieta, U.: CAMOU: A Simple Integrated eLearning and Planning Techniques Tool. In: 4th International Workshop on Constraints and Language Processing (August 2007)Google Scholar
  3. 3.
    Gerevini, A., Serina, I.: LPG: A Planner Based on Local Search for Planning Graphs. In: Proceedings of AIPS 2002. AAAI Press, Toulouse (2002)Google Scholar
  4. 4.
  5. 5.
    ILIAS Learning Management System, http://www.ilias.de/ios/index-e.html
  6. 6.
    IMS-GLC IMS Global consortium, http://www.imsglobal.org/
  7. 7.
    Kontopoulos, E., Vrakas, D., et al.: An Ontology-based Planning System for e-course Generation. In: Expert Systems with Applications, vol. 37 (1). Elsevier, AmsterdamGoogle Scholar
  8. 8.
    Long, D., Fox, M.: PDDL 2.1: An Extension to PDDL for Expressing Temporal Planning Domains. Journal of Artificial Intelligence Research 20, 24–61 (2003)Google Scholar
  9. 9.
    Mohan, P., Greer, J., McCalla, G.: Instructional Planning with Learning Objects. In: Baumgartner, K.M., Cairns (eds.) IJCAI 2003 Workshop Knowledge Representation and Automated Reasoning for E-Learning Systems (2003)Google Scholar
  10. 10.
    Myers, K.L.: Towards a Framework for Continuous Planning and Execution. In: Proceedings of the AAAI Fall Symposium on Distributed Continual Planning (1998)Google Scholar
  11. 11.
    Peachey, D.R., McCalla, G.I.: Using Planning Techniques in Intelligent Tutoring Systems. International Journal of Man-Machine Studies 24, 77–98 (1986)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Lluvia Morales
    • 1
  • Luis Castillo
    • 1
  • Juan Fernandez-Olivares
    • 1
  • Arturo Gonzalez-Ferrer
    • 1
  1. 1.Univerisity of GranadaSpain

Personalised recommendations