Editing for the k-nearest neighbors rule by a genetic algorithm
Pattern Recognition Letters - Special issue on genetic algorithms
Web-based education for all: a tool for development adaptive courseware
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Nearest neighbor classifier: simultaneous editing and feature selection
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
An intelligent distributed environment for active learning
Proceedings of the 10th international conference on World Wide Web
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A New Iris Segmentation Method for Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Personalized e-learning system using Item Response Theory
Computers & Education
An Approach for Detecting Learning Styles in Learning Management Systems
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
Fast Constructive-Covering Algorithm for neural networks and its implement in classification
Applied Soft Computing
An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system
Computers & Education
eTeacher: Providing personalized assistance to e-learning students
Computers & Education
Information Sciences: an International Journal
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
PC2PSO: personalized e-course composition based on Particle Swarm Optimization
Applied Intelligence
International Journal of Learning Technology
Personalized Learning Course Planner with E-learning DSS using user profile
Expert Systems with Applications: An International Journal
A self-adjusting e-course generation process for personalized learning
Expert Systems with Applications: An International Journal
Journal of Network and Computer Applications
Detecting students' perception style by using games
Computers & Education
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With the growing demand in e-learning, numerous research works have been done to enhance teaching quality in e-learning environments. Among these studies, researchers have indicated that adaptive learning is a critical requirement for promoting the learning performance of students. Adaptive learning provides adaptive learning materials, learning strategies and/or courses according to a student's learning style. Hence, the first step for achieving adaptive learning environments is to identify students' learning styles. This paper proposes a learning style classification mechanism to classify and then identify students' learning styles. The proposed mechanism improves k-nearest neighbor (k-NN) classification and combines it with genetic algorithms (GA). To demonstrate the viability of the proposed mechanism, the proposed mechanism is implemented on an open-learning management system. The learning behavioral features of 117 elementary school students are collected and then classified by the proposed mechanism. The experimental results indicate that the proposed classification mechanism can effectively classify and identify students' learning styles.