ملخص البحث

199- تكيف التعلم الالكتروني باستخدام أساليب التعلم التلقائي
Integrating learning styles in adaptive e-Learning systems has been considered a growing trend in technology enhanced learning process. Also, when these technologies are obtainable, reasonable and available, they represent more than a transformation for people with disabilities. Providing adaptively based on learning styles can promote interest for learners and make learning easier for them. The purpose of this research is to adopt an e-Learning approach Radio Frequency Identification (RFID) technology in order to model the Visual-Auditory-Kinesthetic (VAK) learning style focusing on Learning Disabilities (LD) children. Today’s technology offers greater opportunities to assist students with disabilities to live freely and to learn easier. Developing learning environments assisted by technology is a new method in order to ensure that their learning processes are successful. VAK learning style can be determined by applying either the traditional or automatic approach. Automatic approach is preferred as it is considered a better approach to identify learning style as it is based on the actual student’s behaviour patterns while learning. Therefore, the main aim of this paper is to discover VAK learning style based on literature-based approach. The architecture of VAK is also proposed for detecting learning styles based on the number of visits and the time spent on learning object. The purpose of our research is to adopt an e-Learning approach Radio Frequency Identification (RFID) technology in order to model the Visual-Auditory-Kinesthetic (VAK) learning style focused on Learning Disabilities (LD) children. Today’s technology offers great chances to assist students with disabilities to live freely and learn easily. Developing the learning environments assisted by technology is a new way in making their learning processes successful. VAK learning style is determining either traditional approach or automatic approach. Automatic approach is preferred as a better approach to identify learning style because it is based on the actual student’s behaviour pattern while learning. Therefore, the main aim of this paper is to discover VAK learning style based on literature-based approach. The architecture of VAK is also proposed for detecting learning styles based on the number of visit and the time spent on learning object.