International Journal on Digital Libraries

, Volume 7, Issue 1–2, pp 81–97

Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries

  • Mark Gahegan
  • Ritesh Agrawal
  • Tawan Banchuen
  • David DiBiase
REGULAR PAPER

Abstract

This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cyberinfrastructure, and describes some further advantages that accrue from the use of formal description languages (ontologies) to describe both pedagogy and domain content. These advantages include: semantic browsing and visualization of learning object contents, advanced search capabilities linking to several different online collections, easy extension of learning objects with external content added by learners and educators, and utilization of the many rich models of education and educational domains now available as ontologies. As well as conceptual justifications and descriptions of our work, we provide examples throughout to concretize the ideas presented, using learning objects developed for college-level education in geography and the geosciences. We conclude with some thoughts on the further possibilities that arise from the application of detailed semantics, and associated reasoning, in the pursuit of genuinely reusable educational content that integrates more closely with community research activities such as exemplified by e-science.

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References

  1. 1.
    AAAS: Benchmarks for Science Literacy. Project 2061, American Association for the Advancement of Science. Oxford University Press, New York (1993)Google Scholar
  2. 2.
    AAAS: Atlas of Science Literacy. Project 2061, American Association for the Advancement of Science, and the National Science Teachers Association, Washington, DC (2001a)Google Scholar
  3. 3.
    ADLI Advanced Distributed Learning Initiative: Shareable Content Object Reference model, January 2001. http://www.adlnet.orgGoogle Scholar
  4. 4.
    Anjewierden, A.: Cooking: Creating a Corpus. (2006) http://anjo.blogs.com/metis/2005/08/cooking_creatin.html. accessed 15 June 2006Google Scholar
  5. 5.
    Arruarte, A., Elorriaga, J.A., Rueda, U.: A template-based concept mapping tool for computer-aided learning. In: Second IEEE International Conference on Advanced Learning Technologies (ICALT’01); pp. 3–9 (2001)Google Scholar
  6. 6.
    Barbosa, E.F., Maldonado, J.C., Ricarte, I.L.: Exploring learning objects under conceptual, instructional and didactic perspectives. In:. PGL Database Research Conference (PGLDB’2003), Rio de Janeiro, Brazil (2003)Google Scholar
  7. 7.
    Berners-Lee T., Hendler J., Lassila O. (2001). The semantic web. Sci. Amer. 284(5): 34–43 CrossRefGoogle Scholar
  8. 8.
    Breuker, J., Muntjewerff, A., Bredewej, B.: Ontological modeling for designing educational systems. In: Proceedings of the AIED 99 Workshop on Ontologies for Educational Systems, Le Mans, France July 18–19, 1999Google Scholar
  9. 9.
    Buendia-Garcia F., Diaz P. (2003). A framework for the specification of the semantics and the dynamics of instructional applications. J. Educat. Multimedia Hypermedia 12: 2003 Google Scholar
  10. 10.
    Cardoso J., Sheth A. (2003). Semantic e-workflow composition. J. Intelli. Informat. Syst. 21(3): 191–225 CrossRefGoogle Scholar
  11. 11.
    Chin, G., Lansing, C.: Capturing and supporting contexts for scientific data sharing via the Biological Sciences Collaboratory. In: 2004 ACM Conference on Computer Supported Cooperative Work, Chicago, IL, ACM (2004)Google Scholar
  12. 12.
    Conole G., Fill K. (2005). A learning design toolkit to create pedagogically effective learning activities. J. Interactive Media Educati. 8: 1–16 Google Scholar
  13. 13.
    Dalziel, J.: Implementing learning design: the Learning Activity Management System (LAMS). In: Proceedings of the ASCILITE 2003 Conference, Adelaide, Australia (2003)Google Scholar
  14. 14.
    Faatz, A., Hörmann, S., Seeberg, C., Steinmetz, R.: Conceptual enrichment of ontologies by means of a generic and configurable approach. In: Proceedings of the ESSLLI 2001 Workshop on Semantic Knowledge Acquisition and Categorisation, August 2001Google Scholar
  15. 15.
    Futura, K., Ogure, T., Ujita, H.: Nuclear safety ontology – basis for sSharing relevant knowledge. (2003) diras.q.t.u-tokyo.ac.jp/01output/2003–11SSR/furuta/SSR2003(furuta).pdfGoogle Scholar
  16. 16.
    Gahegan M., Pike W. (2006). A situated representation of geographical information. Trans. GIS 10(5): 727–749 CrossRefGoogle Scholar
  17. 17.
    Gruber T.R. (1995). Toward principles for the design of ontologies used for knowledge sharing. Int. J. Human–Comput. Studi. 43: 907–928 CrossRefGoogle Scholar
  18. 18.
    Guarino, N.: Formal ontology in information systems. In: Guarino, N. (ed.) Formal Ontology in Information Systems. Proceedings of FOIS’98, Trento, Italy, June 6–8 1998. IOS Press, Amsterdam, pp. 3–15 (1998)Google Scholar
  19. 19.
    Henze N., Dolog P., Nejdl W. (2004). Reasoning and ontologies for personalized e-learning in the semantic web. Educat. Technol. Soci. 7(4): 82–97 Google Scholar
  20. 20.
    Hodgins, W.: IEEE LTSC Learning Objects Metadata. (2000) http://ltsc.ieee.orgGoogle Scholar
  21. 21.
    Hoermann, S., Seeberg, C., Divac-Krnic, L., Merkel, O., Faatz, A., Steinmetz, R.: Building structures of reusable eEducational content based on LOM. SW-WL ’03 - Semantic Web for Web-based Learning, CAiSE ’03, Klagenfurt/Velden, Austria, 16–20 June. (2003) http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-75/Google Scholar
  22. 22.
    Holsapple, C.W. (Ed): Handbook on Knowledge Management, Vol. 2: Knowledge Directions. Springer, Berlin (2003)Google Scholar
  23. 23.
    Horton P.B., McConney A.A., Gallo M., Woods A.L., Senn G.J., Hamelin D. (1993). An investigation of the effectiveness of concept mapping as an instructional tool. Sci. Educat. 77(1): 95–111 CrossRefGoogle Scholar
  24. 24.
    IMSLD Learning Design specification: Information model, best practice and implementation guide, XML binding, schemas. Version 1.0, Final Specification IMS Global learning Consortium, Inc. (2003) http://www.imsglobal.org/learningdesign/Google Scholar
  25. 25.
    Koper, R.: Modeling units of study from a pedagogical perspective: the pedagogical metamodel behind EML. Technical Report, Open University of the Nederland (OUNL). (2001) http://eml.ou.nl/introduction/docs/ped-metamodel.pdfGoogle Scholar
  26. 26.
    Koper, R., Rodríguez-Artacho, M., Rawlings, A., Lefrere, P., van Rosmalen, P.: Survey of educational modeling languages. Technical Report of the CEN/ISSS Learning Technologies Workshop. (2002) http://sensei.lsi.uned.es/palo/eml-version1.pdfGoogle Scholar
  27. 27.
    Kraan, W.: Learning design and reuseability. (2003) http://www.cetis.ac.uk/content/20030902133812. Accessed 15 June 2006Google Scholar
  28. 28.
    LOM working group, IEEE P1484.12/D6.4, IEEE Learning Technology Standards Committee: Draft Standard for Learning Objects Metadata. http://ltsc.ieee.org/wg12/index.htmlGoogle Scholar
  29. 29.
    Maglajlic, S., Maurer, H., Scherbackov, N.: Separating structure and content, authoring educational web applications. In: Proceedings of the ED-Media and ED-Telecom 98, pp. 880–884 (1998)Google Scholar
  30. 30.
    Mathes, A.: Folksonomies—cooperative classification and communication through shared metadata. Computer Mediated Communication—LIS590CMC, Graduate School of Library and Information Science, University of Illinois Urbana- Champaign. (2004) http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html. Accessed 15 June 2006Google Scholar
  31. 31.
    Mayes, T., De Freitas, S.: Review of e-learning theories, frameworks and models, commissioned review report as part of the JISC-funded e-pedagogy desk study on e-learning models. (2004) http://www.jisc.ac.uk/uploaded_documents/Stage 2 Learning Models (Version 1).pdf. Accessed 24 Aug 2005Google Scholar
  32. 32.
    Mayorga, J.I., Verdejo, M.F., Rodríguez, M., Calero M. Y.: Domain modelling to support educational web-based authoring. In: Proceedings of In TET’99 Congress, Norway, June 1999Google Scholar
  33. 33.
    Merrill, M.D.: Knowledge objects and mental-models. http://www.reusability.org/read/chapters/merrill.doc. Accessed 03 June 2006 (2001)Google Scholar
  34. 34.
    Mohan, P., Brooks, C.: Learning objects on the semantic web. In: International Conference on Advanced Learning Technologies (ICALT 2003), July 2003, Athens, Greece, pp. 195–199 (2003)Google Scholar
  35. 35.
    National Academies of Sciences: Mapping Knowledge Domains. Proceedings of the National Academies of Sciences (PNAS), vol. 101, Supp. 1 (2004)Google Scholar
  36. 36.
    Novak J.D. (1991). Clarify with concept maps: A tool for students and teachers alike. Sci. Teach. 58(7): 45–49 Google Scholar
  37. 37.
    Novak J.D., Wurst M. (2004). Supporting knowledge creation and sharing in communities based on mapping implicit knowledge. J. Univ. Comput. Sci. 10(3): 235–251 Google Scholar
  38. 38.
    OGC, the Open Geospatial Consortium: Styled layer descriptor implementation specification. In: Lalonde, W.(ed) OGC 02-070. (2002) http://www.opengeospatial.org/docs/02-070.pdf.Google Scholar
  39. 39.
    Oliver M., McBean J., Conole G., Harvey J. (2002). Using a toolkit to support the evaluation of learning. J. Comput. Assist. Learn. 18(2): 199–208 CrossRefGoogle Scholar
  40. 40.
    Qin, J., Finneran, C.: Ontological representation for learning objects. In: Proceedings of the Workshop on Document Search Interface Design and Intelligent Access in Large-Scale Collections, JCDL’02, July 18, 2002, Portland, OR, USA (2002)Google Scholar
  41. 41.
    Rodríguez-Artacho M., Verdejo Maíllo M.F. (2004). Modeling educational content: the cognitive approach of the PALO language. Educat. Technol. Soc. 7(3): 124–137 Google Scholar
  42. 42.
    Rumbaugh, J.R., Blaha, M.R., Lorensen, W., Eddy, F., Premerlani, W.: Object-Oriented Modeling and Design. Prentice Hall, 500 p (1990)Google Scholar
  43. 43.
    Shulman L.S. (1987). Knowledge and teaching: foundations of the new reform. Harvard Educat. Rev. 57(1): 1–22 Google Scholar
  44. 44.
    Skupin A., Fabrikant S.I. (2003). Spatialization methods: a cartographic research agenda for non-geographic information visualization. Cartograph. Geograph. Informat. Sci. 30(2): 95–115 CrossRefGoogle Scholar
  45. 45.
    Smith, T. R., Agapova, O., Freeston, M., Ushakov, A.: The organization of knowledge spaces for a virtual learning environment supported by a digital library. In: Digital Libraries: Advanced Methods and Technologies, Digital Collections, (RCDL’2002) Dubna, Russia, October 15–17, 2002, Vol. 1, pp. 53–64. (2002) http://rcdl2002.jinr.ru/Reports/Vol_1/vol1_53-64.pdfGoogle Scholar
  46. 46.
    Sowa, J.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Pacific Grove, CA, Brooks/Cole, 594 p (2000)Google Scholar
  47. 47.
    Sumner T., Ahmad F., Bhushan S., Gu Q., Molina F., Willard S., Wright M., Davis L., Janee G. (2005). Linking learning goals and educational resources through interactive concept map visualizations. Int. J. Dig. Libra. 5(1): 18–24 Google Scholar
  48. 48.
    Süß, C.: Adaptive knowledge management: a meta-modeling approach and its binding to XML. In: Klein H.-J. (ed.) Proceedings of GI-Workshop Grundlagen von Datenbanken, Plön, TR 2005, Christian-Albrechts- Universität Kiel, Germany (2000)Google Scholar
  49. 49.
    Süß, C., Kammerl, R., Freitag, B.: A teachware management framework for multiple teaching strategies. In: Proceedings of ED-MEDIA 2000, World Conference on Educational Multimedia, Hypermedia & Telecommunications, Montreal, Quebec (2000)Google Scholar
  50. 50.
    Ullrich, C.: An instructional component for dynamic course generation and delivery. In: Tolksdorf, R., Eckstein, R. (eds.), Proceedings of Berliner XML, pp. 467–473 (2003)Google Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Mark Gahegan
    • 1
  • Ritesh Agrawal
    • 1
  • Tawan Banchuen
    • 1
  • David DiBiase
    • 1
    • 2
  1. 1.GeoVISTA Center, Department of GeographyThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Dutton e-Education InstituteThe Pennsylvania State UniversityUniversity ParkUSA

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