Learning system and analysis of learning style for African and Asian students

Many factors can hinder learning process especially in the classroom, but the greatest among all is the student´s learning preferences. This research work implemented a fuzzy-like mobile-based learning system that can be used to determine the learning preferences of engineering students based on their responses in answering 55 questions with multiple choice answers on the system´s questionnaire. The system will automatically categorizes between Active-Reflective, Sensory-Intuitive, Visual-Verbal, Sequential-Global, and Social-Emotional learners. The system is tested with some data collected from students in various schools and Universities in Africa and Asia, to analyze their learning styles. A total of 83 students were examined at each of the two continents. Furthermore, we explained how the system is designed and implemented, different system´s module, Analysis of the result obtained, overview of mobile learning, learning style index, and the extended learning style index. Finally, future research directions are proposed.