User centric retrieval of learning objects in LMS

Proceedings of the 2012 3rd International Conference on Computer and Communication Technology, ICCCT 2012

Volumn , Issue , 2012, Pages 14-19

  Sabitha, A Sai ^a   Mehrotra, Deepti ^b  

^a Krishna Engineering College   (India)

^b AMITY UNIVERSITY   (India)

Author keywords

Clustering; K mean; Learning Objects (LO); Quality Metrics; Ranking; Self Organizing Map

Indexed keywords

CLUSTERING; K-MEAN; LEARNING OBJECTS; QUALITY METRICS; RANKING;

COMMUNICATION; E-LEARNING; MANAGEMENT; METADATA; RESEARCH; SELF ORGANIZING MAPS; TEACHING;

COMPUTER AIDED INSTRUCTION;

EID: 84873516874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCT.2012.13     Document Type: Conference Paper

References (36)

1. Barron T (2000, November). "Learning Object Pioneers. Retrieved31July,2005,from:http://www.learningcircuits.org/2000/mar2000/barron. htm
2. IEEE LTSC (2002). IEEE Standard for Learning Object Metadata.1484.12.1- 2002.Availablehttp://ltsc.ieee.org/wg12/
3. Wiley, D. A. (2000).Connecting learning objects to instructional design theory: A definition, a metaphor, and taxonomy. In D. A. Wiley (Ed.), the Instructional Use of Learning Objects: Online Version. Retrieved March 20, 2004, from http://reusability.org/read/chapters/wiley.doc.
4. Xavier Ochoa and Erik Duval Relevance Ranking Metrics for learning objects IEEE transactions on learning technologies, vol. 1, no. 1, January-march 2008.
5. Kohonen, SOM. 3. ed. Berlin: Springer-2001
6. KASABOV, N. K. Foundations of Neural Networks, Fuzzy Systems, Knowledge Engineering. 2. ed. Cambridge: The MIT Press,1998
7. Kaski, S., Honkela, T., Lagus, K., and Kohonen, T. "WEBSOM - Self-organizing maps of document collections". Neuro computing, v.21, 1998, p. 101-117.
8. Ultsch, A. "Knowledge extraction from self-organizing neural networks" In Opitz O. (Ed.). Information and Classification. Springer, 1993.
9. Clustering of Learning Objects with Self-Organizing Maps by Patric Ferreira da Silva and Pollyana Notargia como Mustaro, Mackenzie Presbyterian University©2009 IEEE October 18-21,2009,SanAntonio,TX39thASEE.
10. http://eric.univlyon2.fr/~ricco/tanagra/en/tanagra.html.
11. Data mining in course management systems: Moodle case study and tutorial
12. J. Han, and M. Kamber- , "Data Mining: Concepts and Techniques",Second edition, 2006, Morgan Kaufmann, USA.
13. Neil Y. Yen, Timothy K. Shih Senior Member, IEEE 2010Ranking Metrics and Search Guidance for Learning Object Repository.
14. Miltos Stratakis -Se Le Ne. E-Learning Standards IST-2001-39045 in 2003
15. SCORM (2005). Sharable Content Object Reference Model Available at http://www.adlnet.org/scorm/index.cfm.
16. Generalizing Self-Organizing Map for Categorical Data Chung-Chian Hsu 294 IEEE TRANSACTIONS ON NEURAL NETWORK VOL. 17, NO. 2, MARCH 2006
17. Ashutosh Kumar Singh, Ravi Kumar P.A Comparative Study of Page Ranking Algorithms for Information Ashutosh Kumar Singh, Ravi Kumar P International Journal of Electrical and Computer Engineering 4:7 2009
18. Barton, J., Currier, S., and Hey, J. M. N. (2003). Building quality assurance into metadata creation: an analysis based on the learning objects and e-prints communities of practice. In Sutton S., Greenberg, J and Tennis, J., editors, Proceedings 2003 Dublin Core Conference
19. Stvilia, B., Gasser, L., and Twidale, M. (2006). Information quality management: theory and applications, chapter Metadata quality problems in federated collections, pages 154-18. Idea Group, Hershey, PA.
20. Bui, Y. and Park, J.-r. (2006). An assessment of metadata quality: A case study of the national science digital library metadata repository. In Moukdad, H., editor, Proceedings of CAIS/ACSI 2006 Information Science Revisited: Approaches to Innovation, page 13.
21. Najjar J, Ternier S, and Duval E. (2004). User behaviour in learning objects repositories: An empirical analysis. In McLaughlin, L.C. . C., editor, Proceedings of the ED-MEDIA 2004 World Conference on Educational Multimedia, Hypermedia and Telecommunications, pages 4373-4378. AACE.
22. Campbell, L. (2003). Reusing Online Resources: A Sustainable Approach to E-Learning, chapter engaging with the learning object economy, pages 35-45. Kogan Page Ltd.
23. Wilhelm P. and Wilde, R. (2005). Developing a university course for online delivery based on learning objects: from ideals to compromises. Open Learning: The Journal of Open and Distance Learning, 20(1):65-81.
24. Littlejohn A. (2003). Reusing Online Resources: A Sustainable Approach to E-Learning, chapter Issues in reusing online resources, pages 1-7.Kogan Page Ltd.
25. Yan, R. and Hauptmnn, A. (2006). Efficient margin-based rank learning algorithms for information retrieval. In Leow, W.-K., Lew, M. S., Chua, T.-S., Ma, W.-Y., Chaisorn, L., and Bakker, E. M., editors, Proceedings of the International Conference on Image and Video Retrieval(CIVR), number 4071 in Lecture Notes in Computer Science, pages 113-122,Tempe, AZ. Springer Berlin / Heidelberg.
26. Nesbit, J., Belfer, K., and Vargo, J. (2002). A convergent participation model for evaluation of learning objects. Canadian Journal of Learning and Technology, 28(3):105-120.
27. Borlund, P. (2003). The concept of relevance in IR. Journal of the ASIT, 54(10):913-925.
28. Duval, E. (2005). Policy and Innovation in Education - Quality Criteria, chapter Learn Rank: the Real Quality Measure for Learning Materials, pages 457-463.European School net.
29. Use of Contextual zed Attention Metadata for Ranking and Recommending Learning Objects by Xavier in CAMA'06, November 11, 2006, Arlington, Virginia, USA. Copyright 2006 ACM 1-59593-524-X/06/0011
30. http://ariadne.cti.espol.edu.ec/Learnometrics/quality.html
31. Dealing with heterogeneity in profiles forPersonalized nformation Retrieval by Pavel SerdyukovDatabase Group, University of Twente.
32. Eerika Savia,Sami Jokela MetaData Based Matching of Documents and User Profiles In Proceedings of finish Artificial Intelligence Conference ,STEP'98.
33. S.R Heiyanthuduwage -A Learner oriented Ontology of Metadata to improve Effectiveness of LMS .Third International Conference on e-learning for knowledge based society ,August3-4,2006;Bangkok,Thailand.
34. J. Teevan, S. T. Dumais, and E. Horvitz, "Personalizing search via automated analysis of interests and activities," in SIGIR '05: Proceedingsof the 28th annual international ACM SIGIR conference on Research anddevelopment in information retrieval, 2005
35. http://www.cognitivedesignsolutions.com/
36. A Sai Sabitha,Deepti Mehotra .Quality Metrics quanta for Retrieving Learning Object by Clustering Techniques. The Second International Conference on Digital Information and Communication Technology and its Applications(DCTAP2012). 978-1-4673-0734-5/12©201 IEEE.