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Many e-learning systems don't consider learners' individual difference. However, learners have different needs and characteristics such as previous knowledge, motivation, and learning styles. Providing courses which fit learners' individual characteristics makes learning easier for them as well as increasing their learning progress. In this paper, we will benefit from Felder-Silverman learning style...
The implementation of e-learning challenges lecturers to optimize the learning process of every student. Every student is unique and has different needs related to appropriate learning methodologies. Therefore, students need personal treatment according to their individual learning styles. It is necessary that e-learning system to be enhanced with personalization features. Personalization allows adjustments...
Computer science has a wide variety of applications in a wide variety of fields. Yet computer science education focuses primarily on the theoretician's perspective. We believe that if a variety of perspectives are brought in during learning, learners' intrinsic motivation can be increased, and learning computer science can be made more engaging and personalized. In this work-in-progress paper, we...
Providing personalization in e-learning process by considering the existence learning style, motivation and knowledge ability (triple-factor) can affect students performance and makes learning easier for students. The result of our preliminary study indicates that there is an impact triple-factor on learning activities in Student Centered E-Learning Environment (SCELE). It shows that the triple-factor:...
Eye-tracking measurements may be used as a method of identifying userspsila actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in order to validate the construct of cognitive style as a personalization parameter in adaptive e-Learning systems. The main research question was whether the verbalizer/imager axis of the cognitive style analysis theory reflects...
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