Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Repository and Search Based on Distance Learning Standards

  • Conference paper
Hybrid Learning and Education (ICHL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5685))

Included in the following conference series:

  • 1725 Accesses

Abstract

With the popularity of Internet technologies and the development of search engine, people request various kinds of information through Web-based services. In distance learning (or e-learning), SCORM (i.e., Sharable Content Object Reference Model) provides an efficient way for learning objects to be reused and shared. In order to meet a federated repository goal such that Learning Objects are found, the CORDRA (Content Object Repository Discovery and Registration/Resolution Architecture) provides a common architecture for discovering and sharing these Learning Objects. We follow SCORM and CORDRA specifications to develop a registry system, called MINE Registry, for storing and sharing Learning Objects. As a contribution, we proposed the concept of “Reusability Tree” to represent the relation among relevant Learning Objects. In this paper, we further make a deeper step to collect relevant information while utilizing Learning Objects, such as citations and time period persisted. Through theses information, we propose a mechanism to weight and rank Learning Objects. As a new contribution, we provide a mechanism and tool called “Search Guider” to assist users in finding relevant information based on individual requirements.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Chang, J.H., Lee, W.S.: Finding Recent Frequent Itemsets Adaptively over Online Data Streams. In: Proceedings of ACM SIGKDD (2003)

    Google Scholar 

  2. Chen, Y., Dong, G., Han, J., Wah, B.W., Wang, J.: Multidimensional regression analysis of time-series data streams. In: Proc. 2002 Int. Conf. Very Large Data Bases(VLDB 2002) (2002)

    Google Scholar 

  3. Farmer, R.A., Hughes, B.: Pattern-Based End-User Development with Learning Objects. In: Proceedings of the Sixth International Conference on Advanced Learning Technologies (ICALT 2006), pp. 794–798 (2006)

    Google Scholar 

  4. Golab, L., Ozsu, M.T.: Issues in Data Stream Management. In: Special Interest Group on Management Of Data (SIGMOD 2003), vol. 32(2). ACM, New York (2003)

    Google Scholar 

  5. Lin, H.W., Tzou, M.T., Shih, T.K., Wang, C.C., Lin, L.: Metadata Wizard Design for Searchable and Reusable Repository. In: Proceedings of the 2006 International Conference on SCORM (ICSCORM 2006), Taipei, Taiwan, January 17-19 (2006)

    Google Scholar 

  6. Rocchio, J.: Relevance feedback informarian retrieval. In: Salton, G. (ed.) The Smart Retrieval System — Experiments in Automatic Document Processing, pp. 313–323. Prentice-Hall, Englewood Cliffs (1971)

    Google Scholar 

  7. Roya, M., Chang, R., Qi, X.: Learning from Relevance Feedback Sessions Using A K-Nearest-Neighbor-Based Semantic Repository. In: 2007 IEEE International Conference on Multimedia and Expo, July 2-5, pp. 1994–1997 (2007)

    Google Scholar 

  8. Sarip, M.H., Yahya, Y.: LORIuMET: Learning Object Repositories Interoperability using Metadata. In: International Symposium on Information Technology, 2008. ITSim 2008, August 26-28, vol. 3 (2008)

    Google Scholar 

  9. Shih, T.K., Chang, C.-C., Lin, H.W.: Reusability on learning object repository. In: Liu, W., Li, Q., Lau, R. (eds.) ICWL 2006. LNCS, vol. 4181, pp. 203–214. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Vassiliadis, N., Kokoras, F., Vlahavas, I., Sampson, D.: An Intelligent Educational Metadata Repository. In: Leondes, C. (ed.) Intelligent Systems: Technology and Applications. Databases and Learning Systems, vol. 4. CRC Press, Boca Raton (2003)

    Google Scholar 

  11. Vinay, V., Cox, I., Milic-Frayling, N., Wood, K.: Evaluating relevance feedback algorithms for searching on small displays. In: Losada, D.E., Fernández-Luna, J.M. (eds.) ECIR 2005. LNCS, vol. 3408, pp. 185–199. Springer, Heidelberg (2005)

    Google Scholar 

  12. ADL Technical Team, Content Object Repository Discovery and Registration/Resolution Architecture, ADL first International Plugfest, June 7 (2004)

    Google Scholar 

  13. IEEE Draft Standard for Learning Object Metadata. IEEE P1484.12.1/d6.4 (2002)

    Google Scholar 

  14. The Official Google Blog, “OpenSocial makes the web better”, http://googleblog.blogspot.com/2007/11/opensocial-makes-web-better.html (Retrieved December 17, 2008)

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

Yen, N.Y., Shih, T.K., Chao, L.R. (2009). Repository and Search Based on Distance Learning Standards. In: Wang, F.L., Fong, J., Zhang, L., Lee, V.S.K. (eds) Hybrid Learning and Education. ICHL 2009. Lecture Notes in Computer Science, vol 5685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03697-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03697-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03696-5

  • Online ISBN: 978-3-642-03697-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics