International Schools in Kumbakonam - Karthi Vidhyalaya International ICSE School
The study was conducted in ten secondary schools in the Kilimanjaro region in Tanzania. Purposive and convenience sampling techniques were used to determine students majoring in science subjects. Findings indicate that majority of students own mobile phones and have access to the Internet connectivity. However, m-Iearning platforms that are currently in place are not viable solution in all contexts and not necessarily the best solution. Therefore, the design of m-Iearning content should focus on learning profile and personal needs such as location and afford ability. A framework that considers four factors: user satisfaction, pedagogy, technology, and economy of use are proposed for Tanzanian context. It is concluded that education stakeholders should consider the opportunities of technology in education in order to boost knowledge sharing among students.Mobi[e learning (m-Iearning) is an emerging technology to support education and is regarded as a promising tool which may bring new innovative practices in the education sector especially in places where education resources are inadequate.
Many research findings on education performance in Tanzania reveal that there is a decline in performance in science subjects in secondary schools and therefore more effort is needed to improve the situation . It is pointed out in that integrating Information and Communication Technology (lCT) in education is necessary to improve access, equity and quality of education. Also suggests that, infusing technology into education could be a powerful method to address challenges in the education sector. It is remarked in that mobile devices are on track to become the main technology for use in education in the future, so this is the time to adopt mobile technologies to support teaching and learning in secondary education. This study is therefore aimed at developing an m-Iearning model for science subjects in secondary schools in Tanzania. This paper explore factors that influence m-Iearning in Tanzania and proposes a framework model to be adopted in implementing the idea.Click Here
General architecture of education cloud platform is generally divided into five parts: First, cloud client. It provides an interface for cloud users to request services; Second, service catalog. It shows related services in the cloud client interface through generating the appropriate icon or list form; In the third, the management system and the deployment tool. It provides user management and resource services; Fourth, monitoring. It can monitor and measure usage of cloud system resource, and rapid response; Fifth, server clusters, namely the virtual or physical servers, is responsible for providing computing power, data storage and application services.International Schools in Kumbakonam
On the basis of general architecture, people put forward three kinds of service forms : Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). ,aaS includes servers, storage systems and network systems. IaaS provides basic hardware platform services through virtualization technology; PaaS, including authentication, authorization, and data management platform service system, is mainly composed of middleware, databases, as well as the development platform, etc; SaaS is to provide services through a unified portal, which is the entrance that the user access to services. After access to such education cloud service, schools no longer need to spend a lot of money to buy commercial software license, as long as an account can use a lot of online educational applications, sharing vast amounts of educational resources, online communication with users nationwide.International Schools in Kumbakonam
The idea of user-centric is very pertinent towards development of any information system. [t is suggested that successful development of any education technological tool user's requirement comes in the first place [13]. [n this paper, we present the questionnaire and group discussion analysis that was looking at factors that influence implementation of m-Iearning in Tanzania and propose an mlearning model to be implemented based on the analysis of the results.
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