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Towards Automatic Synthesis of Educational Resources Through Automated Planning

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Advances in Artificial Intelligence (SETN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3955))

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Abstract

This paper reports on the results of an ongoing project for the development of a platform for e-Learning, which automatically constructs curricula based on available educational resources and the learners needs and abilities. The system under development, called PASER (Planner for the Automatic Synthesis of Educational Resources), uses an automated planner, which given the initial state of the problem (learner’s profile, preferences, needs and abilities), the available actions (study an educational resource, take an exam, join an e-learning course, etc.) and the goals (obtain a certificate, learn a subject, acquire a skill, etc.) constructs a complete educational curriculum that achieves the goals. PASER is compliant with the evolving educational metadata standards that describe learning resources (LOM), content packaging (CP), educational objectives (RDCEO) and learner related information (LIP).

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References

  1. Baldoni, M., Baroglio, C., Patti, V.: Reasoning about learning object metadata for adapting SCORM courseware. In: Aroyo, L., Tasso, C. (eds.) AH 2004: Workshop Proceedings, Part I, International Workshop on Engineering the Adaptive Web, EAW 2004: Methods and Technologies for personalization and Adaptation in the Semantic Web, Eindhoven, The Netherlands, August 2004, pp. 4–13 (2004)

    Google Scholar 

  2. Bassiliades, N., Kokkoras, F., Vlahavas, I., Sampson, D.: An Intelligent Educational Metadata Repository. In: Leondes, C.T. (ed.) Intelligent Systems, Techniques and Applications, vol. 4, ch. 12, pp. 297–337. CRC Press, Boca Raton (2003)

    Google Scholar 

  3. Bassiliades, N., Vlahavas, I.P.: R-DEVICE: A Deductive RDF Rule Language. In: Antoniou, G., Boley, H. (eds.) RuleML 2004. LNCS, vol. 3323, pp. 65–80. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Currie, K., Tate, A.: O-Plan: The Open Planning Architecture. Artificial Intelligence 52(1), 46–86 (1991)

    Article  Google Scholar 

  5. Erol, K., Hendler, J., Nau, D.: UMCP: A Sound and Complete Procedure for Hierarchical Task Network Planning. In: Proceedings of the 2nd International Conference on Planning Systems, Chicago, Illinois, pp. 88–96 (1994)

    Google Scholar 

  6. Fox, M., Long, D.: PDDL2.1: An extension to PDDL for expressing temporal planning domains. Journal of Artificial Intelligence Research 20, 61–124 (2003)

    MATH  Google Scholar 

  7. IMS Global Learning Consortium, Specifications, http://www.imsglobal.org/specifications.html

  8. Karampiperis, P., Sampson, D.: Adaptive instructional planning using ontologies. In: Proc. of the 4th IEEE International Conference on Advanced Learning Technologies, ICALT 2004, pp. 126–130 (2004)

    Google Scholar 

  9. Peachy, D.R., Mc-Calla, G.I.: Using planning techniques in intelligent tutoring systems. International Journal of Man-Machine Studies 24, 77–98 (1986)

    Article  Google Scholar 

  10. Ullrich, C.: Course generation based on HTN planning. In: Proc. 13th Annual Workshop of the SIG Adaptivity and User Modeling in Interactive Systems, pp. 74–79 (2005)

    Google Scholar 

  11. Vassileva, J.: Dynamic Course Generation on the WWW. In: Proc. 8th World Conf. on AI in Education (AI-ED 1997), Kobe, Japan. Knowledge and Media in Learning Systems (1997)

    Google Scholar 

  12. Vrakas, D., Tsoumakas, G., Bassiliades, N., Vlahavas, I.: HAPrc: An Automatically Configurable Planning System. AI Communications 18(1), 1–20 (2005)

    MathSciNet  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Vrakas, D., Kokkoras, F., Bassiliades, N., Vlahavas, I. (2006). Towards Automatic Synthesis of Educational Resources Through Automated Planning. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_42

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  • DOI: https://doi.org/10.1007/11752912_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34117-8

  • Online ISBN: 978-3-540-34118-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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