A Proposed Smart E-Learning System Using Cloud Computing Services: PaaS, IaaS and Web 3.0

Abstract

Abstract-E-learning systems need to improve its infrastructure, which can devote the required computation and storage resources for e-learning systems. Microsoft cloud computing technologies although in their early stages have managed to change the way applications are going to be developed and accessed. The objective of the paper is to combine various technologies to design architecture which describe E-learning systems. Web 3.0 uses widget aggregation, intelligent retrieval, user interest modeling and semantic annotation. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Cloud computing provides a low cost solution to academic institutions for their researchers, faculty and learners. In this paper we integrate cloud computing as a platform with web 3.0 for building intelligent e-learning systems.Index Terms-web 3.0, e-learning, semantic annotation, intelligent retrieval, cloud computing, Microsoft windows azure, software as a services (SaaS), infrastructure as a services (IaaS), platform as a services (PaaS). I.INTRODUCTIONWith the rapid development of Internet, more and more people obtain useful information via the Internet [21]. The internet is an open system; a huge number of information is produced and updated onto it every day.[16] Elearning systems can be very beneficial to the learner if used properly. With the development of information society and acceleration of the pace of life, Learners are looking forward to have a learning schedule and network learning environment, which can meet their own needs. During the era of Web 2.0, Internet brought convenience to instructors and administrators of E-learning platforms. E-learning platforms mainly used interactivity of information. However learners still need a more intelligent efficient and personalized system [14]. Also, there is no Elearning, but has faced challenges in [5] optimizing resource allocations [3], dealing with dynamic demands on getting information and knowledge anywhere and anytime, handling rapid storage growth requirements, [14] cost controlling and greater flexibility, [9] improving its infrastructure [12], which can devote the required computation and storage resources Deficiency in learning content (The information may not inspire the users successfully),[8] Lack of personalization (The currently available platforms to learners are of the same content, so when learners have different learning demands and different learning roles, they have to enter different learning systems which reduce the learning desire and initiative), [7] Narrowness (E-learning systems are applied by small and specific groups). An integration between cloud computing and Web 3.0 meets this need of learners and proposes new concepts of information access models. The latest A) Software as a Service (SaaS)The

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