Adapting instruction in search of 'a significant difference'
Journal of Network and Computer Applications
User Modeling and User-Adapted Interaction
INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
iWeaver: towards 'learning style'-based e-learning in computer science education
ACE '03 Proceedings of the fifth Australasian conference on Computing education - Volume 20
A Learner's Style and Profile Recognition via Fuzzy Cognitive Map
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Real users, real results: examining the limitations of learning styles within AEH
Proceedings of the eighteenth conference on Hypertext and hypermedia
Evaluation of a web based mathematics teaching material on the subject of functions
Computers & Education
eTeacher: Providing personalized assistance to e-learning students
Computers & Education
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches
IEEE Transactions on Learning Technologies
Learning objects in high school mathematics classrooms: Implementation and evaluation
Computers & Education
Enhancing student learning through hypermedia courseware andincorporation of student learning styles
IEEE Transactions on Education
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The purpose of this study is to design an adaptive and intelligent individualized e-learning environment based on learning style and expert system named UZWEBMAT and to evaluate its effects on students' learning of the unit of probability. In the study, initially, learning objects were prepared in three different ways in relation to Visual-Auditory-Kinesthetic (VAK) learning style for each subject of the probability unit. These were appropriate for secondary school mathematics curricula. Then, they were transferred into the digital environment. Each student may follow a different course, and the solution supports s/he will get may also differ highlighting the individual learning. The sample of the study consists of 81 10th grade students from two high schools in Trabzon, Turkey. Qualitative and quantitative data were collected from students to answer research questions. Quantitative data were given as frequency distribution and percentages. Qualitative data were analyzed using qualitative data analysis methods. Results of the study indicated that opinions regarding UZWEBMAT are rather positive. Aiming at individual learning, UZWEBMAT provides the most appropriate environment for students. In addition, UZWEBMAT can be used as well to reinforce traditional classroom education.