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.

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