Skip to main content

Semantic Enhancement of the Course Curriculum Design Process

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5711))

Abstract

In this paper we propose a methodology intended to improve Course Curriculum Design (CCD) tasks, using for this purpose Semantics and CBR techniques. In specific, our proposed methodology is focused on two points: (i) the re-use of available resources (courses, etc), and (ii) the application of the experience of different experts in the course creation. As a prove of concept, we present a case study where our methodology is applied for competence and course creation using the Spanish normative for vocational education domain (technical degree).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Swedish national Agency for Higher Education. e-Learning Quality: Aspects and Criteria for Evaluation of e-Learning in Higher Education. Report 2008:11 R (2008)

    Google Scholar 

  2. Diamond, R.M.: Designing and Assessing Courses and Curricula. Jossey-Bass, San Francisco (1998)

    Google Scholar 

  3. Aammodt, A., Plaza, E.: Case-Based Reasoning: Foundational issues, methodological variations, and system approaches. AICom - Artificial Intelligence Communications 7(1-3), 39–59 (1994)

    Google Scholar 

  4. Noy, N.F., McGuiness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Medical Informatics Technical Reports SMI-2001, 880 (2001)

    Google Scholar 

  5. Sanin, C., Szczerbicki, E.: Set of Experience: A Knowledge Structure for Formal Decision Events. Foundations of Control and Management Sciences Journal 3, 95–113 (2005)

    Google Scholar 

  6. Leake, D.: CBR in Context: the Present and Future. In: Case Based Reasoning: Experiences, Lessons and future Directions, pp. 3–30. AAI/MIT Press, Menlo Park (1996)

    Google Scholar 

  7. Bréal, M.: Essai de sémantique. Hachette, Paris (1897)

    Google Scholar 

  8. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43(5-6), 907–928 (1995)

    Article  Google Scholar 

  9. Rector, A., Drummond, N., Horridge, M., Rogers, J., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) EKAW 2004. LNCS (LNAI), vol. 3257, pp. 63–81. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: A Practiacl OWL-DL Reasoner. Journal of Web Semantics 5(2), 51–53 (2007)

    Article  Google Scholar 

  11. Toro, C., Sanín, C., Vaquero, J., Posada, J., Szczerbicki, E.: Knowledge Based Industrial Maintenance Using Portable Devices and Augmented Reality. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 295–302. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  12. Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A., Sánchez, A.: Building CBR systems with jCOLIBRI. Science of Computer Programming 69(1-3), 68–75 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  13. Knublauch, H.: The Protégé-OWL API, http://protege.stanford.edu/plugins/owl/api/index.html (last visited on April 4, 2009)

  14. Sanin, C., Szczerbicki, E., Toro, C.: An OWL Ontology of Set of Experience Knowledge Structure. Journal of universal Computer Science 13(2), 209–223 (2007)

    Google Scholar 

  15. Toro, C., Sanin, C., Szczerbicki, E., Posada, J.: Reflexive Ontologies: Enhancing ontologies with Self-Contained Queries. Cybernetics and Systems: An International Journal 39(2), 171–189 (2008)

    Article  MATH  Google Scholar 

  16. Cobos, Y., Toro, C., Sarasua, C., Vaquero, J., Linaza, M.T., Posada, J.: An Architecture for Fast Semantic Retrieval in the Film Heritage Domain. In: Proceedings of the 6th International Workshop on Content-based Multimedia Indexing, London, UK, pp. 272–279 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vaquero, J., Toro, C., Martín, J., Aregita, A. (2009). Semantic Enhancement of the Course Curriculum Design Process. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04595-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04594-3

  • Online ISBN: 978-3-642-04595-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics