Smart Classroom Content Delivery Using Ubiquitous Devices for Kenyan Learning Institutions

Abstract

Due to integration of ICT in educational and the evolution of e-learning, there has been a tremendous growth of big data in education. The data have left students with no precise relevant data with regard to their professional content requirements, making students sometimes take a lot of time accessing non-relevant data to their educational/professional needs. This study introduces a platform through which big educational data can be classified, and students’ professional requirements documented. The platform should be able to learn the students’ profession and then avail only relevant data to the profession. The student profession details should be kept within their mobile (ubiquitous) devices that they use to access educational data. This will in turn make learning enjoyable and not time wasting in accessing irrelevant data. The platform should also make it possible for the students’ devices to be located, giving a clear understanding on which classroom the student is based. In designing this system we used the standard system development life cycle, where we design intelligent database, which collects the students’ profession and then searches for the relevant data at the big educational data banks kept in the learning institutions. The education data and the professions were coded for easy matching. The prototype system resulted in 70% relevance during the searches.