Design of a Service-Oriented e-Learning Environment

Dumitru Dan Burdescu, Marian Cristian Mihăescu, Costel Marian Ionaşcu, Bogdan Logofatu

Abstract

Within e-learning domain there is a tremendous effort trying to loosely couple the data management and data deployment in e-Learning environments. This paper presents a design of such a architecture which consists of three main pieces: (1) Global Repository, (2) Repository Manager and (3) Web Deployer. The architecture ensures scalability, interoperability and service composition for an enterprise e-Learning environment. The Global Repository consists of a suite of services that actually manage all the assets of the e-Learning environment. The Repository Manager is a data management tool which allows the maintenance of all assets from a desktop application. The Web Deployer tool actually creates e-Learning environments by using assets from the Global Repository. The overall architecture is Service Oriented such that each service publishes its functionality in a standardized way letting other services to access and use the functionality in a flexible manner.

References

  1. M. Sullivan, “Collaboration: teacher pedagogy, student practice”, National Teaching and Learning Forum, Vol. 7 No. 5, pp. 4-6, 1988.
  2. H. Varenne, “On Pedagogical Authority: One Teacher's Choice”, (Online). Available: http://varenne.tc.columbia.edu/hv/pol/pedagog_author.html (last access: December 12, 2009).
  3. WISE, (Online), Available: http://wise.berkeley.edu (last access: December 12, 2009)
  4. BIOKIDS, (Online), Available: http://www.biokids.umich.edu (last access: December 12, 2009]
  5. THINKERTOOLS, (Online), Available: http://thinkertools.org/ (last access: December 12, 2009]
  6. MAC, (Online), Available: http://mac.concord.org (last access: December 3, 2009)
  7. J. L. Kolodner, P. J. Camp, D. Crismond, B. Fasse, J. Gray, J. Holbrook, S. Puntambekar and M. Ryan, “Problem-based learning meets case-based reasoning in the middle-school science classroom: Putting learning by design into practice”, The Journal of the Learning Sciences, 12 (4), pp. 495-547, 2003.
  8. S. Guha, R. Rastogi and K. Shim, “ROCK: A Robust Clustering Algorithm for Categori-cal Attributes”, In Proceedings of the IEEE Conference on Data Engineering, Sydney, Australia, pp. 512-521, 1999.
  9. M. J. A Berry and G. Linoff, Data Mining Techniques For Marketing, Sales and Customer Support. John Wiley & Sons, Inc., USA, 1996.
  10. M. U. Fayyad, G. Piatesky-Shapiro, P. Smuth and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining. AAAI Press, 1996.
  11. I. H. Witten and E. Frank, Data Mining - Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann Publishers, 2000.
  12. M. Halkidi, M. Vazirgiannis and I. Batistakis, “Quality Scheme Assessment in the Clustering Process”, Proceedings of PKDD, Lyon, France, 2000.
  13. Weka, Available: www.cs.waikato.ac.nz/ml/weka
  14. J. D. Novak, “Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations”, Mahwah, NJ: Lawrence Erlbaum Associates, 1998.
  15. J. Srivastava, R. Cooley, M. Desphande and P.N. Tan, “Web usage mining: Discovery and applications of usage patterns from web data”. SIGKDD Explorations, 2000.
  16. R. Cooley, B. Mobasher and J. Srivastava, “Data preparation for mining World Wide Web browsing patterns”, Knowledge and Information Systems, 1999.
  17. O. R. Zaiane, “Building a recommender agent for e-Learning systems”, Proc. of 7th Int. Conf. On Computers in Education, Acuckland, New Zeeland, 2002.
  18. L. Guo, X. Xiang and Y. Shi, “Use web usage mining to assist background online eLearning assessment”, 4th IEEE ICALT, 2004.
  19. W. Abramovicz, T. Kaczmarek and M. Kowalkiewicz, “Supporting topic map creation using data mining techniques”, Australian Journal of Information Systems, 2004.
  20. J. Han and M. Kamber, Data Mining Concepts and Techniques, Morgan Kaufman, San Francisco, 2001.
  21. R. Srikant and R. Agrawal, “Mining sequential patterns: Generalizations and performance improvements”, EDBT: Proc. of teh 5th Int. Conf. On Extending Database Technologies, 1995.
  22. P. N. Tan, V. Kumar and J. Srivastava, “Selecting the right objective measure for association analysis”, Information Systems, 2004.
  23. R. Agrawal and R. Srikant, “Fast Algorithms for Mining Association Rules”, Proc. of the 20th Int. Conf. on Very Large Databases, Santiago, Chile, 1994.
  24. W. Lin, S.A. Alvarez and C. Ruiz, “Efficient adaptive-support association rule mining for recommender systems”, Data Mining and Knowledge Discovery, 2002.
  25. E. Spertus and L. Stein, “A hyperlink-based recommender system written in squeal”, Proc. ACM CIKM'98 Workshop on Web Information and Data Management, 1998.
  26. B. Mobasher, “Data Mining for Web Personalization”, The Adaptive Web: Methods and Strategies of Web Personalization, Lecture Notes in Computer Science, New York, 2006, Vol. Springer-Verlag, Berlin-Heidelberg.
  27. O. Nasraoui, “World Wide Web Personalization”, Invited chapter in “Encyclopedia of Data Mining and Data Warehousing”, 2005, J. Wang, Ed, Idea Group.
  28. O. R. Zaiane, “Building a Recommender Agent for e-Learning Systems”, in Proc. of the 7th International Conference on Computers in Education, Auckland, New Zealand, December, 2002, 3 - 6, pp 55-59.
  29. C. Romero, S. Ventura, “Educational Data Mining: a Survey from 1995 to 2005,” Expert Systems with Applications. Elsevier 1:33 (2007) 135-146.
  30. C. Romero, S. Ventura, J. A. Delgado and P. D. Bra, “Personalized Links Recommendation-Based on Data Mining in Adaptive Educational Hypermedia Systems,” in Creating New Learning Experiences on a Global Scale, Springer Berlin /Heidelberg(2007), pp.292- 306.
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Paper Citation


in Harvard Style

Burdescu D., Mihăescu M., Ionaşcu C. and Logofatu B. (2010). Design of a Service-Oriented e-Learning Environment . In Proceedings of the 4th International Workshop on Enterprise Systems and Technology - Volume 1: I-WEST, ISBN 978-989-8425-44-7, pages 98-115. DOI: 10.5220/0004465700980115


in Bibtex Style

@conference{i-west10,
author={Dumitru Dan Burdescu and Marian Cristian Mihăescu and Costel Marian Ionaşcu and Bogdan Logofatu},
title={Design of a Service-Oriented e-Learning Environment},
booktitle={Proceedings of the 4th International Workshop on Enterprise Systems and Technology - Volume 1: I-WEST,},
year={2010},
pages={98-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004465700980115},
isbn={978-989-8425-44-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Enterprise Systems and Technology - Volume 1: I-WEST,
TI - Design of a Service-Oriented e-Learning Environment
SN - 978-989-8425-44-7
AU - Burdescu D.
AU - Mihăescu M.
AU - Ionaşcu C.
AU - Logofatu B.
PY - 2010
SP - 98
EP - 115
DO - 10.5220/0004465700980115