Scikid-Learn : An AI tool for customized education

Education is at the hearth of societal, individual and collective development and is supposed to facilitate children empowerment. Yet, in many situations, it fails to do it well, whether because of economic problems or outdated approach. According to USI data, about 260 millions of children are out of school and a study conducted by Cindy Liu on US students concluded that 1 out of 5 students would consider suicide because of stress at school. Education is currently not optimized, with the large level gap between students and individual differences not sufficiently considered. From these observations, we built SciKid-Learn: a mobile application for customized and adaptive learning that learns from children and recommends customized content as well as provide tests to evaluate progress. It was first developed thinking of application for students in developing countries, lacking an easy access to a good education. Yet, we also found it more generally relevant for every teaching institution, as a support to the traditional approach. It gives a way to easily learn from children, adapt and track progress more efficiently and during the whole life of each individual. How do children learn? Learning style. Studies have shown that students develop preferred learning styles, with five main profiles: visual, aural, physical, verbal and logical. Cognitive abilities. For scientific subjects, different questions will require different cognitive abilities such as spatial representation, calculus and logical thinking. Personality. Different personalities usually develop different learning habits, involving different environment, supports and schedules.