RANCANG BANGUN SISTEM PEMBELAJARAN ELEKTRONIK BERBASIS CLOUD COMPUTING

Sistem pembelajaran elektronik atau lebih dikenal e-Learning merupakan sistem yang digunakan dalam proses pembelajaran berbantuan media jaringan komputer baik itu intranet atau internet. Dalam pengimplementasian-nya sering terkendala masalah infrastruktur dan sumber daya manusia yang memelihara. Berkembangnya teknologi memungkinkan e-Learning dapat diimplementasikan pada teknologi cloud computing sehingga satu sumber daya dapat digunakan secara bersama-sama. Penelitian ini bertujuan untuk membangun suatu sistem pembelajaran elektronik berbasis cloud computing dan mengukur kelayakan dari faktor fungsionalitas dan kebergunaan. Penelitian ini dilakukan sebagai solusi dalam pengembangan teknologi komunikasi dan informasi khususnya cloud computing yang digunakan dalam proses pembelajaran. Metode pengembangan sistem yang digunakan diadaptasi dari model sekuensial linier. Berdasarkan hasil penelitian didapatkan bahwa sistem pembelajaran elektronik telah dirancang dan dibangun pada insfratruktur virtualisasi cloud computing menggunakan KVM dengan dibangun dari tiga sub-sistem yaitu video conference system (bigbluebutton), learning management system (moodle) dan cloud storage system (ownCloud). Sistem pembelajaran elektronik berbasis cloud computing dalam penelitian ini 81,62% memiliki kemampuan untuk menyediakan fungsi sesuai kebutuhan pengguna (fungsionalitas) hal ini dapat dilihat berdasarkan penilaian dari ahli sedangkan sistem tersebut 83,23 % mudah dipahami, dipelajari, digunakan dan menarik pengguna (kebergunaan) hal ini dapat dilihat berdasarkan penilaian dari guru dan siswa;--- E-Learning system is a system used in the learning process with assisted computer network be it intranet or internet. Its implementation is often constrained or affected by the problem of infrastructure and human resources that sustainted the system. The development of technology bring through the e-Learning implemented on the technology of cloud computing so that the resources can be used together. This study intend to develop an electronic learning system based on cloud computing and measure the advisability of functionality and usability factor. This research was conducted as a solution for the development of communication and information technology in particular cloud computing that is used in the learning process. System development method that used was adapted from the linear sequential model. Based on the results that e-learning systems have been designed and built in insfratruktur cloud computing virtualization using KVM with built of three sub-systems, namely video conference system (bigbluebutton), learning management system (Moodle) and cloud storage system (ownCloud). Electronic learning system based on cloud computing in the study 81.62% has the capability to provide the functions according to user needs (functionality) this can be seen by an expert assessment of 83.23% while the system is easy to understand, learn, use and attractive user (usability) it can be seen based on the assessment of teachers and students

Case studies of personalized learning

Deliverable 4.1, Literature review of personalised learning and the Cloud, started with an evaluation and synthesis of the definitions of personalized learning, followed by an analysis of how this is implemented in a method (e-learning vs. i-learning, m-learning and u-learning), learning approach and the appropriate didactic process, based on adapted didactic theories. From this research a list of criteria was created needed to implement personalised learning onto the learner of the future. This list of criteria is the basis for the analysis of all case studies investigated. – as well to the learning process as the learning place. In total 60 case studies (all 59 case studies mentioned in D6.4 Education on the Cloud 2015 + one extra) were analysed. The case studies were compared with the list of criteria, and a score was calculated. As a result, the best examples could be retained. On average most case studies were good on: taking different learning methods into account, interactivity and accessibility and usability of learning materials for everyone. All had a real formal education content, thus aiming at the core-curriculum, valuing previous knowledge, competences, life and work skills, also informal. Also the availability of an instructor / tutor or other network of peers, experts and teachers to guide and support the learning is common. On the other hand, most case studies lack diagnostics tests as well at the start (diagnostic entry test), during the personalized learning trajectory and at the end (assessment at the end). Also most do not include non-formal and informal learning aspects. And the ownership of personalized learning is not in the hands of the learner. Five of the 60 case studies can as a result be considered as very good examples of real personalized learning

Models of everywhere revisited: a technological perspective

The concept ‘models of everywhere’ was first introduced in the mid 2000s as a means of reasoning about the environmental science of a place, changing the nature of the underlying modelling process, from one in which general model structures are used to one in which modelling becomes a learning process about specific places, in particular capturing the idiosyncrasies of that place. At one level, this is a straightforward concept, but at another it is a rich multi-dimensional conceptual framework involving the following key dimensions: models of everywhere, models of everything and models at all times, being constantly re-evaluated against the most current evidence. This is a compelling approach with the potential to deal with epistemic uncertainties and nonlinearities. However, the approach has, as yet, not been fully utilised or explored. This paper examines the concept of models of everywhere in the light of recent advances in technology. The paper argues that, when first proposed, technology was a limiting factor but now, with advances in areas such as Internet of Things, cloud computing and data analytics, many of the barriers have been alleviated. Consequently, it is timely to look again at the concept of models of everywhere in practical conditions as part of a trans-disciplinary effort to tackle the remaining research questions. The paper concludes by identifying the key elements of a research agenda that should underpin such experimentation and deployment

Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support.

A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high demands for multimedia contents. Fog computing has been conceptualized to facilitate the deployment of new services that cloud computing cannot provide, particularly those demanding QoE guarantees. These services are provided using fog nodes located at the network edge, which is capable of virtualizing their functions/applications. Service migration from the cloud to fog nodes can be actuated by request patterns and the timing issues. To the best of our knowledge, existing works on fog computing focus on architecture and fog node deployment issues. In this article, we describe the operational impacts and benefits associated with service migration from the cloud to multi-tier fog computing for video distribution with QoE support. Besides that, we perform the evaluation of such service migration of video services. Finally, we present potential research challenges and trends

Partly Cloudy, Scattered Clients: Cloud Implementation in the Federal Government

Since the issuance of a federal mandate in 2010 requiring federal government agencies in the United States of America to immediately shift to a “Cloud First” policy, agencies have struggled to adopt cloud computing. Previous research has examined hindrances to cloud computing adoption across industries in the private sector (Raza et al., 2015, Park and Ryoo, 2012, and Bhattacherjee and Park, 2012). While this research provides important insights on cloud computing adoption in the private sector, it devotes scant attention to challenges of cloud computing adoption in the federal government. This study seeks to fill this gap by examining the roles of Top Management Support and Information Security Awareness on cloud computing implementation success in the federal government. Institutional theory serves as the theoretical framework for this study

Context-aware and automatic configuration of mobile devices in cloud-enabled ubiquitous computing

This is the author's accepted manuscript. The final publication is available at Springer via http://dx.doi.org/10.1007/s00779-013-0698-3. Copyright @ Springer-Verlag London 2013.Context-sensitive (or aware) applications have, in recent years, moved from the realm of possibilities to that of ubiquity. One exciting research area that is still very much in the realm of possibilities is that of cloud computing, and in this paper, we present our work, which explores the overlap of these two research areas. Accordingly, this paper explores the notion of cross-source integration of cloud-based, context-aware information in ubiquitous computing through a developed prototypical solution. Moreover, the described solution incorporates remote and automatic configuration of Android smartphones and advances the research area of context-aware information by harvesting information from several sources to build a rich foundation on which algorithms for context-aware computation can be based. Evaluation results show the viability of integrating and tailoring contextual information to provide users with timely, relevant and adapted application behaviour and content