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Planning for Conditional Learning Routes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5845))

Abstract

This paper builds on a previous work in which an HTN planner is used to obtain learning routes expressed in the standard language IMS-LD and its main contribution is the extension of a knowledge engineering process that allows us to obtain conditional learning routes able to adapt to run time events, such as intermediate course evaluations, what is known as the standard IMS-LD level B.

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References

  1. Brusilovsky, P., Vassileva, J.: Course Sequencing Techinques for Large-Scale Web-Based Education. International Journal Continuing Engeenering Education and Lifelong Learning 13(1/2), 75–94 (2003)

    Google Scholar 

  2. OUNL: Ims Global Learning Consortium. Open University of the Netherlands (2003), http://www.imsglobal.org/

  3. Heyer, S., Oberhuemer, P., Zander, S., Prenner, P.: Making Sense of IMS Learning Design Level B: From Specification to Intuitive Modeling Software. In: Duval, E., Klamma, R., Wolpers, M. (eds.) EC-TEL 2007. LNCS, vol. 4753, pp. 86–100. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Castillo, L., Morales, L., Fernández-Olivares, J., González-Ferrer, A., Palao, F.: Knowledge Engineering and Planning for the Automated Synthesis of Customized Learning Designs. In: Borrajo, D., Castillo, L., Corchado, J.M. (eds.) CAEPIA 2007. LNCS (LNAI), vol. 4788, pp. 40–49. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  5. Castillo, L., Fernández-Olivares, J., García-Pérez, O., Palao, F.: Efficiently Handling Temporal Knowledge in an HTN Planner. In; ICAPS 2006, pp. 63–72 (2006)

    Google Scholar 

  6. Liber, O.: REusable eLearning Object Authoring and Delivery. University of Bolton (2007), http://www.reload.ac.uk/

  7. Kontopoulos, E., Vrakas, D., Kokkoras, F., Bassiliades, N., Vlahavas, I.: An Ontology-based Planning System for e-course Generation. Expert Systems with Applications 35(1/2), 398–406 (2008)

    Article  Google Scholar 

  8. Ullrich, C., Melis, E.: Pedagogically Founded Courseware Generation Based on HTN-planning. Expert Systems with Applications 36(5), 9319–9332 (2009)

    Article  Google Scholar 

  9. Nau, D., Au, T.-C., Ilghami, O., Kuter, U., Murdock, J.W., Wu, D., Yaman, F.: Shop2: An HTN Planning System. Journal of Artificial Intelligence Research 20(1), 379–404 (2003)

    MATH  Google Scholar 

  10. Sicilia, M., Sánchez-Alonso, S., García-Barriocanal, E.: On Supporting the Process of Learning Design through Planners. CEUR Workshop Proceedings: Virtual Campus 2006 Post-Proceedings 186(1), 81–89 (2006)

    Google Scholar 

  11. Onder, N., Pollack, M.E.: Conditional, probabilistic planning: A unifying algorithm and effective search control mechanisms. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 577–584 (1999)

    Google Scholar 

  12. Myers, K.L.: Towards a framework for Continuous Planning and Execution. In: AAAI Fall Symposium on Distributed Continual Planning (1998)

    Google Scholar 

  13. Foulser, D., Li, M., Yang, Q.: Theory and Algorithms for Plan Merging. Artificial Intelligence 57, 143–181 (1992)

    Article  MATH  MathSciNet  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Morales, L., Castillo, L., Fernández-Olivares, J. (2009). Planning for Conditional Learning Routes. In: Aguirre, A.H., Borja, R.M., Garciá, C.A.R. (eds) MICAI 2009: Advances in Artificial Intelligence. MICAI 2009. Lecture Notes in Computer Science(), vol 5845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05258-3_34

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  • DOI: https://doi.org/10.1007/978-3-642-05258-3_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05257-6

  • Online ISBN: 978-3-642-05258-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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