Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
ADL '98 Proceedings of the Advances in Digital Libraries Conference
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
E-learning personalization based on itineraries and long-term navigational behavior
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A New Approach for Reactive Web Usage Data Processing
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Research on Path Completion Technique in Web Usage Mining
ISCSCT '08 Proceedings of the 2008 International Symposium on Computer Science and Computational Technology - Volume 01
The Construction of Transactions for Web Usage Mining
CINC '09 Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01
Mining LMS data to develop an "early warning system" for educators: A proof of concept
Computers & Education
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
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The aim of the paper is the probability modelling of accesses to the categories of activities of e-learning course in learning management system. We are concerned with the access probabilities to individual activities of e-learning course content depending on the part of the week (workweek and weekend). The probabilities are estimated through multinomial logit model. We pay attention to data preparation issues. We describe used model in more detail and deal with parameter estimations. Finally, we figure that the multinomial logit model finds its application mainly in the process of restructuring the existing e-learning courses. We discuss about its possible contribution to the improvement of the learning management as well as in the personalization of the course content and structure.