Information-seeking strategies of novices using a full-text electronic encyclopedia
Journal of the American Society for Information Science
Hypertext: from text to Expertext
Hypertext: from text to Expertext
C4.5: programs for machine learning
C4.5: programs for machine learning
International Journal of Human-Computer Interaction
Computers in the Schools - Special issue: multimedia and megachange—new roles for educational computing, part 2
Levels and types of mediation in instructional systems: an individual differences approach
International Journal of Human-Computer Studies
Journal of Educational Multimedia and Hypermedia
Users' interaction with World Wide Web resources: an exploratory study using a holistic approach
Information Processing and Management: an International Journal
Cognitive style and on-line database search experience as predictors of web search performance
Journal of the American Society for Information Science - Special topic issue: individual differences in virtual environments
Efficacy of a map on search, orientation and access behaviour in hypermedia system
Computers & Education
Individual differences, hypermedia navigation, and learning: an empirical study
Journal of Educational Multimedia and Hypermedia
Cognitive styles and hypermedia navigation: development of a learning model
Journal of the American Society for Information Science and Technology
Machine Learning
The interactive effects of field dependence-independence and internet document manipulation style on student achievement from computer-based instruction
ACM Transactions on Computer-Human Interaction (TOCHI)
Mining students' behavior in web-based learning programs
Expert Systems with Applications: An International Journal
Addressing Learning Style Criticism: The Unified Learning Style Model Revisited
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Evaluating the Impact of Adaptation to Learning Styles in a Web-Based Educational System
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Providing Personalized Courses in a Web-Supported Learning Environment
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Web-based learning programs: Use by learners with various cognitive styles
Computers & Education
International Journal of Learning Technology
Associating learners' cognitive style with their navigation behaviors: a data-mining approach
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Web-based interaction: A review of three important human factors
International Journal of Information Management: The Journal for Information Professionals
A Unified Learning Style Model for Technology-Enhanced Learning: What, Why and How?
International Journal of Distance Education Technologies
Creating a Personalized Artificial Intelligence Course: WELSA Case Study
International Journal of Information Systems and Social Change
Investigating attributes affecting the performance of WBI users
Computers & Education
Hi-index | 0.00 |
Recent developments in learning technology such as hypermedia is becoming widespread and offer significant contribution to improve the delivery of learning and teaching materials. A key factor in the development of hypermedia learning system is cognitive style (CS) as it relates to users' information processing habits, representing individual user's typical modes of perceiving, thinking, remembering and problem solving. The sample comprised of 217 students from Murdoch University who were enrolled in a first-year undergraduate unit. A survey was carried out every second semester over a period of 3 years (1999-2001). Both generalized linear model and tree-based regression were used to analyse the interaction among the learning dimensions and the effect on students' CS. When comparing both models, tree-based regression outperformed generalized linear model in this study. The research findings indicated that non-linear learning is the primary dimension that determines students' CS. This is subsequently, followed by multiple tools (MT) and learner control (LC) dimensions. The results also confirm that background information has effects on students' CS. The overall findings suggest that students' preference of learning dimensions such as linear vs. non-linear, level of LC and the range of MT must be taken into consideration in order to enrich students' quality of education by means of motivating students' acquisition of subject matter through individualize instruction when designing, developing, and delivering educational resources.