The innovation of information and communications technology in education has improved the learning quality and has provided a positive impact on the learning environment and its community. Integrating learning styles in adaptive e-Learning systems has been considered a growing trend in technology to improve the learning process. Also, when these technologies are obtainable, reasonable and available, they represent more than a transformation for people with disabilities. The purpose of this research is to adopt a decision support system in e-learning in order to model the visual-auditory-kinesthetic learning style focusing on learning disabilities children. Learning disabilities children face difficulties in processing and retaining information and thus have problems in the classroom. Providing adaptively based on learning styles has potential to make learning easier for students and increase learning progress. The traditional way to identify learning styles is by using questionnaires. Even though, the problem with the traditional approach is not all the students are interested to fill out a questionnaire. Hence the most recent years, several approaches have been proposed for automatically detecting learning styles to solve these problems. Therefore, the main aim of this paper is to propose elearning decision support system architecture to estimate students' learning style automatically using literature-based method. Calculation to estimate each of the student's learning styles based on number of visits and the time that spent on learning objects with respect to the visual-auditory-kinesthetic learning style.
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