User Profile Modeling in the context of web-based learning management systems

Journal of Network and Computer Applications

Volumn 31, Issue 4, 2008, Pages 603-627

  Kritikou, Yiouli ^a   Demestichas, Panagiotis ^a   Adamopoulou, Evgenia ^b   Demestichas, Konstantinos ^b   Theologou, Michael ^b   Paradia, Maria ^c  

^a UNIVERSITY OF PIRAEUS   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^c Department of Mathematics   (Greece)

Author keywords

Bayesian Networks; E learning system; User modeling; User Profile

Indexed keywords

BAYESIAN NETWORKS; DISTRIBUTED PARAMETER NETWORKS; EDUCATION; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTERNET; LEARNING SYSTEMS; MANAGEMENT; MULTIMEDIA SYSTEMS; NETWORK ARCHITECTURE; SPEECH ANALYSIS; STATISTICAL TESTS;

BAYESIAN; E LEARNING; E LEARNING PLATFORM; E-LEARNING SYSTEMS; ELSEVIER (CO); FOCAL POINTS; IN ORDER; LEARNING SERVICES; PERSONALIZATION; RESEARCH EFFORTS; SPECIAL NEEDS; USER MODELLING; USER PREFERENCES; USER PROFILING; USER'S PREFERENCES; WEB BASED LEARNING;

E-LEARNING;

EID: 47949091760     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2007.11.006     Document Type: Article

References (53)

1. Adamopoulou E, Demestichas K, Koutsorodi A, Theologou ME. Access selection and user profiling in reconfigurable terminals. In: Proceedings of the fifteenth wireless world research forum (WWRF), Paris, France, December 2005.
2. Ahmad AR, Basir O, Hassanein K. Adaptive user interfaces for intelligent e-learning: issues and trends. In: Proceedings of the fourth international conference on electronic business (ICEB 2004), Beijing, 2004. p. 925-34.
3. Alomyan H. Individual differences: implications for web-based learning design. J Int Educ 4 4 (2004) 188-196
4. Alrifai M, Dolog P, Nejdl W. Learner profile management for collaborating adaptive eLearning applications. In: Proceedings of APS'2006 joint international workshop on adaptivity, personalization and the semantic web at the 17th ACM Hypertext'06 conference, Odense, Denmark. New York: ACM Press; 2006.
5. Brusilovsky P. Adaptive hypermedia. In: Alfred Kobsa, editor. User modeling and user-adapted interaction. Ten year anniversary 2001, vol. 11(1-2), 2001. p. 87-110.
6. Brusilovsky P., Sosnovsky S.A., and Shcherbinina O. User modeling in a distributed e-learning architecture. In: Ardissono L., Brna P., and Mitrovic A. (Eds). User modeling 2005. Lecture notes in artificial intelligence (2005), Springer, Berlin 387-391
7. Chickering DM, Geiger D, Heckerman D. Learning Bayesian networks is NP-hard. Technical report MSR-TR-94-17 1994, Microsoft research, Advanced Technology Division, Microsoft Corporation, 1994.
8. Christea A. Evaluating adaptive hypermedia authoring while teaching adaptive systems. In: Proceedings of the 2004 ACM symposium on applied computing table of contents. Nicosia, Cyprus, 2004. p. 929-34.
9. Claypool M, Le P, Wased M, Brown D. Implicit interest indicators. In: Proceedings of ACM intelligent user interfaces conference (IUI). Santa Fe, New Mexico, USA, 2001.
10. Conati C., and Zhao X. Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game. Proceedings of IUI'04, Madeira, Portugal (2004) 13-16
11. Conklin J. Hypertext: an introduction and survey. IEEE Comput Mag 20 9 (1987) 17-41
12. De Bra P, Aerts A, Berden B. AHA! The adaptive hypermedia architecture. In: Proceedings of the 14th ACM conference on hypertext and hypermedia, Nottingham, UK, 2003. p. 81-4.
13. Dupin-Bryant P.A., and DuCharme-Hansen P.A. Assessing student needs in web-based distance education. Int J Instr Technol Distance Learn 2 1 (2005) 39-47
14. E-Class Webpage 2007. 〈http://www.eclass.net/〉, 2007.
15. Entwistle N. Styles of learning and teaching (1990), Beekman Books Inc., UK
16. Esposito F., Licchelli O., and Semeraro G. Discovering student models in e-learning systems. J Universal Comput Sci 10 1 (2004) 47-57
17. FlexTraning Webpage 2007. 〈http://www.flextraining.com/〉, 2007.
18. FLE3 Webpage. 〈http://fle3.uiah.fi/〉, 2007.
19. García P., Amandi A., Schiaffino S., and Campo M. Evaluating Bayesian networks' precision for detecting students' learning styles. J Comput Educ 49 3 (2007) 794-808
20. Garzotto F, Cristea A. ADAPT Major design dimensions for educational adaptive hypermedia. In: Kommers P, Richards G, editors. Proceedings of world conference on educational multimedia, hypermedia and telecommunications. Chesapeake, VA: AACE; 2004. p. 1334-9.
21. Ghahramani Z. An introduction to Hidden Markov Models and Bayesian Networks. Int J Pattern Recognit Artif Intell 15 1 (2001) 9-42
22. Gregorc A. The mind styles model: theory, principles, and practice. AFG; 2006.
23. Heckerman D. A tutorial on learning with bayesian networks. Technical report MSR-TR-95-06, Microsoft Research, Advanced Technology Division, Microsoft Corporation, November 1996.
24. IBSTPI webpage. International board of standards for training, performance and instruction. Web page 〈http://www.ibstpi.org/〉, 2007.
25. Juvina I., and van Oostendorp H. Predicting user preferences: from semantic to pragmatic metrics of web navigation behavior. Proceedings of Dutch directions in HCI (2004), SigChi, NL
26. Juvina I, van Oostendorp H. Individual differences and behavioral metrics involved in modeling web navigation. Submitted to UAIS, Published on-line by Springer at 〈http://www.springerlink.com/index/3VGBEC2G8DG346MJ〉, 2004b. p. 77.
27. Kalaydjiev O, Angelova G. Adaptive hypermedia in eLearning. In: Turlakov H, Boyanov L, editors. Next generation network computing. In: Proceedings of next generation network workshop, October 2002, Rousse, Bulgaria, 2002. p. 87-98.
28. Kim HR, Chan PK. Learning implicit user interest hierarchy for context in personalization. In: Proceedings of the eighth international conference on intelligent user interfaces. Miami, FL, USA. 2003. p. 101-8.
29. Kolb DA. LSI Learning-style inventory. McBer & Company, Training Resources Group, 1985.
30. Kolb DA. Learning theory: applying Kolb's learning style inventory with computer based training, 1996.
31. Kolb D.A., and Fry R. Toward an applied theory of experiential learning. In: Cooper C. (Ed). Theories of group process 1975 (1975), Wiley, London
32. Kolb D.A., Rubin I.M., and McIntyre J.M. Organizational psychology: a book of readings (1979), Prentice-Hall, Inc., Englewood Cliffs, NJ
33. Lee M.J. Expanding hypertext: does it address disorientation? Depends on individuals' adventurousness. J Comput-Med Commun 10 3 (2005). http://jcmc.indiana.edu/vol10/issue3/lee.html Article 6: 〈http://jcmc.indiana.edu/vol10/issue3/lee.html〉, 2005
34. LSA webpage, 2006. Latent semantic analysis (LSA), Official web site, 〈http://lsa.colorado.edu/〉, 2006.
35. Marton F., and Saljo S. On qualitative differences in learning-1: outcome and process. Br J Educ Psych 46 (1976) 4-11
36. McDonald S. Effects of text structure and prior knowledge of the learner on navigation in hypertext. J Hum Factors 40 1 (1998) 18-27
37. Moodle webpage 2007. 〈http://moodle.org/〉, 2007.
38. O'Connor A, Wade V, Conlan O. Context-informed adaptive hypermedia. In: Proceedings of the sixth international conference on ubiquitous computing (Ubicomp'04), 2004.
39. Oerter R. Psychologie des Denkens (1971), Auer, Donauwörth
40. QuickBase training management webpage: 〈http://www.quickbase.com/p/lms/training_mgmt.asp?promo=Business.com-Training_Mgt-dvfn6ye-June07&cat=Learning+Management&src=Business.com〉, 2007.
41. Papasalouros A, Retalis S, Avgeriou P, Skordalakis M. An integrated model for the authoring of web-based adaptive educational applications. In: Proceedings of AH2003: workshop on adaptive hypermedia and adaptive web-based systems, at the 12th international world wide web conference, Budapest, Hungary, May 2003.
42. Pearl J. Probabilistic reasoning in intelligent systems. Networks of plausible inference. Los Altos: Morgan Kaufman; 1988.
43. Pearl J. Bayesian Networks. Technical report R-216, Computer Science Department, University of California, Los Angeles, 1995.
44. Sampson D., Karagiannidis C., and Cardinalli F. An architecture for web-based e-learning promoting re-usable adaptive educational e-content. J Educ Technol Soc 5 4 (2002) 27-37
45. Sampson D., Karagiannidis C., and Kinshuk S. Personalised learning: educational, technological and standardisation perspective. Interactive Educ Multimedia 4 (2002) 24-39
46. Santos Jr E, Brown S, Lejter M, Ngai G, Banks S, Stytz M. Dynamic user model construction with Bayesian networks for intelligent information queries. In: Proceedings of the 12th international Florida artificial intelligence research society conference, 1999. p. 3-7.
47. Sbattella L, Tedesco R. Profiling and tutoring users in virtual campus. In: Proceedings of the fifth international conference on information technology based higher education and training (ITHET '04), Istanbul, Turkey, 2004.
48. Syberworks Training Center Webpage. 〈http://www.syberworks.com/trial.htm?c1=payperclick&source=Business_ads&kw=elearninglms&wcw=business〉, 2007.
49. Tedesco R., Dolog P., Nejdl W., and Allert H. Distributed Bayesian networks for user modeling. In: Reeves T., and Yamashita S. (Eds). Proceedings of world conference on e-learning in corporate, government, healthcare, and higher education (2006), AACE, Chesapeake, VA 292-299
50. Terziyan V. A Bayesian metanetwork. Int J Artif Intell Tools 14 3 (2005) 371-384
51. TIP Theories webpage. 〈http://tip.psychology.org/theories.html〉, 2006.
52. Turker A., Görgün I., and Conlan O. The challenge of content creation to facilitate personalized e-learning experiences. Int J E-Learning 5 1 (2006) 11-17
53. Zakaria MR, Moore A, Stewart CD, Brailsford TJ. 'Pluggable' user models for adaptive hypermedia in education. In: Proceedings of the 14th ACM conference on hypertext and hypermedia, Nottingham, UK, 2003. p. 170-1.