Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Hypermedia and cognition: designing for comprehension
Communications of the ACM
How people revisit web pages: empirical findings and implications for the design of history systems
International Journal of Human-Computer Studies - Special issue: World Wide Web usability
Separating the swarm: categorization methods for user sessions on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modern Information Retrieval
What do web users do? An empirical analysis of web use
International Journal of Human-Computer Studies
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Computers & Education - Documenting collaborative interactions: Issues and approaches
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
A new direction for log file analysis in CSCL: experiences with a spatio-temporal metric
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Supporting teachers' intervention in collaborative knowledge building
Journal of Network and Computer Applications - Special issue: Innovations in agent collaboration
Rules for Learner Modeling and Adaptation Provisioning in an Educational Hypermedia System
SYNASC '07 Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
ACM Transactions on Computer-Human Interaction (TOCHI)
Exploratory sequential data analysis: foundations
Human-Computer Interaction
Indicators for Deducting the Learners' Learning Styles: Case of the Navigation Typology Indicator
ICALT '09 Proceedings of the 2009 Ninth IEEE International Conference on Advanced Learning Technologies
WBE '08 Proceedings of the Seventh IASTED International Conference on Web-based Education
International Journal of Learning Technology
Thinking styles in an intelligent and adaptive e-learning hypermedia tool
Intelligent Decision Technologies
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Identifying learners' behaviors and learning preferences or styles in a Web-based learning environment is crucial for organizing the tracking and specifying how and when assistance is needed. Moreover, it helps online course designers to adapt the learning material in a way that guarantees individualized learning, and helps learners to acquire meta-cognitive knowledge. The goal of this research is to identify learners' behaviors and learning styles automatically during training sessions, based on trace analysis. In this paper, we focus on the identification of learners' behaviors through our system: Indicators for the Deduction of Learning Styles. We shall first present our trace analysis approach. Then, we shall propose a `navigation type' indicator to analyze learners' behaviors and we shall define a method for calculating it. To this end, we shall build a decision tree based on semantic assumptions and tests. To validate our approach, and improve the proposed calculation method, we shall present and discuss the results of two experiments that we conducted.