Capturing user behavior in e-learning environments

Webist 2007 - 3rd International Conference on Web Information Systems and Technologies, Proceedings

Volumn SEBEG, Issue EL/-, 2007, Pages 464-469

  Mor, Enric ^a   Minguillon, Julià ^a   Santanach, Francesc ^a  

^a UNIVERSITAT OBERTA DE CATALUNYA   (Spain)

Author keywords

E learning environments; User behavior; User tracking; Web usage mining

Indexed keywords

AUTOMATED RESPONSE; E-LEARNING ENVIRONMENT; E-LEARNING ENVIRONMENTS; REAL EXAMPLE; SERVER LOG FILES; USER ACTION; USER BEHAVIOR; USER BEHAVIORS; USER TRACKING; WEB PAGE; WEB SERVERS; WEB USAGE MINING;

BEHAVIORAL RESEARCH; EDUCATION; INFORMATION SYSTEMS; INTERNET; MINING; MULTIMEDIA SYSTEMS; WEBSITES;

E-LEARNING;

EID: 67649981766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Chi, E. H., Pirolli, P., and Pitkow, J. (2000). The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a web site. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 161-168, New York, NY, USA. ACM Press.
2. Cooley, R., Mobasher, B., and Srivastava, J. (1999). Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, 1(1):5-32.
3. Hilbert, D. M. and Redmiles, D. F. (2000). Extracting usability information from user interface events. ACM Computing Surveys, 32(4):384-421.
4. Kay, J. and Lum, A. (2004). Creating user models from web logs. In Proceedings of the Intelligent User Interfaces Workshop: Behavior-Based User Interface Customization.
5. Marsico, M. D. and Levialdi, S. (2004). Evaluating web sites: exploiting user's expectations. International Journal of Human-Computer Studies, 60(3):381-16.
6. Mor, E. and Minguillón, J. (2004). E-learning personalization based on itineraries and long-term navigational behavior. In Proceedings of the Thirteenth International World Wide Web Conference, volume 2, pages 264-265, New York, NY, USA. ACM Press.
7. Mor, E., Minguillón, J., and Carbó, J. M. (2006). Data Mining in E-learning, chapter Analysis of User Navigational Behavior for E-Learning Personalization, pages 227-246. WIT Press.
8. Paramyon's, A. and Loidl-Reisinger, S. (2004). Adaptive learning environments and e-learning standards. Electronic Journal of e-Learning, 2(2).
9. Sangrà, A. (2002). A new learning model for the information and knowledge society: The case of the UOC. International Review of Research in Open and Distance Learning, 2(2).
10. Spiliopoulou, M. (2000). Web usage mining for web site evaluation. Communications of the ACM, 43(8): 127-134.
11. Thomas, R., Kennedy, G., Draper, S., Mancy, R., Crease, M., Evans, H., and Gray, P. (2003). Generic usage monitoring of programming students. In Proceedings of the ASCIUTE 2003 Conference, pages 715-719, Adelaide, Australia.
12. Wharton, C, Rieman, J., Lewis, C, and Poison, P. (1994). Usability inspection methods, chapter The cognitive walkthrough method: a practitioner's guide, pages 105-140. John Wiley & Sons, Inc.