The importance of learning style in end-user training
MIS Quarterly
Cyberspace 2000: dealing with information overload
Communications of the ACM
Adaptive learning systems in the World Wide Web
UM '99 Proceedings of the seventh international conference on User modeling
Ant algorithms for discrete optimization
Artificial Life
Future Generation Computer Systems
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
User Modeling and User-Adapted Interaction
Ganging up on Information Overload
Computer
Experimenting with a real-size man-hill to optimize pedagogical paths
Proceedings of the 2005 ACM symposium on Applied computing
A new approach for constructing the concept map
Computers & Education
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Dynamic question generation system for web-based testing using particle swarm optimization
Expert Systems with Applications: An International Journal
An attribute-based ant colony system for adaptive learning object recommendation
Expert Systems with Applications: An International Journal
An adaptive testing system for supporting versatile educational assessment
Computers & Education
Expert Systems with Applications: An International Journal
Application of Swarm Intelligence in E-Learning Systems
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
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
Adaptation e-learning contents in mobile environment
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Supporting adaptive learning interactions with ontologies
Proceedings of the 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction
Adaptive educational hypermedia systems in technology enhanced learning: a literature review
Proceedings of the 2010 ACM conference on Information technology education
Modeling personalized learning styles in a web-based learning system
Transactions on edutainment IV
A context-aware adaptive learning system using agents
Expert Systems with Applications: An International Journal
Evolutionary computation approaches to the Curriculum Sequencing problem
Natural Computing: an international journal
A new adaptive e-learning model based on learner's styles
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
A conversational intelligent tutoring system to automatically predict learning styles
Computers & Education
The design and implementation of a competency-based intelligent mobile learning system
Expert Systems with Applications: An International Journal
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
Expert Systems with Applications: An International Journal
Stigmergic agent-based adaptive content sequencing in an e-learning environment
International Journal of Advanced Intelligence Paradigms
Contents Recommendation Method Using Social Network Analysis
Wireless Personal Communications: An International Journal
Computers in Human Behavior
Hi-index | 12.06 |
Adaptive learning provides an alternative to the traditional ''one size fits all'' approach and has driven the development of teaching and learning towards a dynamic learning process for learning. Therefore, exploring the adaptive paths to suit learners personalized needs is an interesting issue. This paper proposes an extended approach of ant colony optimization, which is based on a recent metaheuristic method for discovering group patterns that is designed to help learners advance their on-line learning along an adaptive learning path. The investigation emphasizes the relationship of learning content to the learning style of each participant in adaptive learning. An adaptive learning rule was developed to identify how learners of different learning styles may associate those contents which have the higher probability of being useful to form an optimal learning path. A style-based ant colony system is implemented and its algorithm parameters are optimized to conform to the actual pedagogical process. A survey was also conducted to evaluate the validity and efficiency of the system in producing adaptive paths to different learners. The results reveal that both the learners and the lecturers agree that the style-based ant colony system is able to provide useful supplementary learning paths.