This paper investigates the effect of mobile phone screen size (1.65 inches - 2.75 inches) on video based learning. It first examines the educational benefits of video as a teaching medium and surveys the usage and issues related with video based learning. After which, it investigates the value of video for mobile learning. It reports on an empirical investigation that studied the effect that screen-size has on video-based m-learning. Findings indicate that regardless of the screen size of a mobile phone, students tended to have a positive overall opinion of m-learning and watching the video significantly increased their knowledge of the subject area. However, if an m-learning environment that relies heavily on video based material is displayed on a mobile device with a small screen, such as an average mobile phone, then the effectiveness of the learning experience may be inhibited. Paper identifies the underlying reasons why mobile phone screen size may be a problem for video based m-learning. The implications of this finding are discussed.

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The Effect of Mobile Phone Screen Size on Video Based Learning

With the advent of social web initiatives, some argued that these new emerging tools might be useful in tacit knowledge sharing through providing interactive and collaborative technologies. However, there is still a poverty of literature to understand how and what might be the contributions of social media in facilitating tacit knowledge sharing. Therefore, this paper is intended to theoretically investigate and map social media concepts and characteristics with tacit knowledge creation and sharing requirements. By conducting a systematic literature review, five major requirements found that need to be present in an environment that involves tacit knowledge sharing. These requirements have been analyzed against social media concepts and characteristics to see how they map together. The results showed that social media have abilities to comply some of the main requirements of tacit knowledge sharing. The relationships have been illustrated in a conceptual framework, suggesting further empirical studies to acknowledge findings of this study.

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Social Media and Tacit Knowledge Sharing: Developing a Conceptual Model

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Towards a quality model of technical aspects for mobile learning services

Pocket School: Exploring mobile technology as a sustainable literacy education option for underserved indigenous children in Latin America

The importance and acceptance of M-Learning systems by both students and faculty is becoming increasingly important. The advantages offered by such systems such as accessibility, mobility, collaboration, and the opening of the educational process for continuous and lifelong learning are of paramount importance. Since teaching and learning has been practised for thousands of years, the transfer of this process into the electronic environment requires a holistic, interdisciplinary approach. This paper identifies and examines three major areas of critical success factors for the development of mobile learning applications. The first one includes the understanding of characteristics, peculiarities and constraints of the various mobile devices and technologies to be used in M-Learning. The second major area investigated is the learners' needs and requirements. The third area is the examination of the quality components, namely usability, functionality, reliability, efficiency, maintainability and portability for the successful development of mobile learning applications. Finally, the synergy of all these factors are incorporated into a proposed mobile learning engineering process called MobE.

Critical success factors for the development of mobile learning applications

This paper addresses the issue of resource offloading for energy usage optimization in the cloud, using the centrality principle of social networks. Mobile users take advantage of the mobile opportunistic cloud, in order to increase their reliability in service provision by guaranteeing sufficient resources for the execution of mobile applications. This work elaborates on the improvement of the energy consumption for each mobile device, by using a social collaboration model that allows for a cooperative partial process offloading scheme. The proposed scheme uses social centrality as the underlying mobility and connectivity model for process offloading within the connected devices to maximize the energy usage efficiency, node availability and process execution reliability. Furthermore, this work considers the impact of mobility on the social-oriented offloading, by allowing partitionable resources to be executed according to the social interactions and the associated mobility of each user during the offloading process. The proposed framework is thoroughly evaluated through event driven simulations, towards defining the validity and offered efficiency of the proposed offloading policy in conjunction to the energy consumption of the wireless devices.

Energy Consumption Optimization Using Social Interaction in the Mobile Cloud

In the ‘Era of Peta’ processing level, which supports several concepts and practices in order to build highly scalable applications, there is a great need to have the offered services provided to the end-users, with the minimum possible reduction in quality in terms of time and availability. This chapter addresses some of these traditional concepts combined in a ‘multi-sharing’ cloud application environment and discusses how these concepts evolve in the context of cloud computing. The chapter also presents some unprecedented issues, such as resource allocation and management and the potential inefficiencies in the currently utilised APIs in the cloud computing application paradigm that have emerged through time. As the size of the cloud environment increases, efficient resource allocation and management become even more challenging, whereas the problem of optimisation in a large distributed environment under QoS constraints needs a potentially utility-oriented solution. Current methods, although efficient, need to be re-engineered encompassing methods suitable for distributed system optimisation for managing the future clouds. It also exposes the state-of-the-art techniques to provide efficient replicated storage according to the data semantic context and resource batching for satisfying users’ requests originating from anywhere anytime using both static and moving environments. The upcoming and current computing paradigm is envisioned to be offering synchronous and asynchronous services in the context of the cloud computing services paradigm. Cloud computing has evolved through the creation of a new service paradigm by utilising data centres and assembling services of networked virtual machines. Therefore, the availability of the requested resources by users poses a crucial parameter for the adequacy of the service provided. One of the major deployments of the cloud application paradigm is the virtual data centres (VDC). These are utilised by service providers which enable a virtual infrastructure in a distributed manner in various remotely hosted locations worldwide to provide accessibility and backup services in order to ensure reliability. This chapter also presents resource considerations and paradigms in the cloud environment describing the fundamental operations that are required for faster response time by distributing workload requests to multiple VCDs using certain resource manipulation techniques such as the Virtual Engine Migration (VEM) for resource availability and the associated resource management in VDCs using user-based VEM resource migration or virtual-to-virtual (V2V) resource migration.

Resource and Scheduling Management in Cloud Computing Application Paradigm

This chapter presents a Efficient 3D Video Processing…?>dynamic cloud computing scheme for efficient resource migration and 3D media content processing in mobile computing environments. It elaborates on location and capacity issues to offload resources from mobile devices due to their processing limitations, towards efficiently manipulating 3D video content. The proposed scheme adopts a rack-based approach that enables cooperative migration for redundant resources to be offloaded towards facilitating 3D media content manipulation. The rack-based approach significantly reduces crash failures that lead all servers to become unavailable within a rack and enables mobile devices with limited processing capabilities to reproduce multimedia services at an acceptable level of quality of experience (QoE). The presented scheme is thoroughly evaluated through simulation tests, where the resource migration policy was used in the context of cloud rack failures for delay-bounded resource availability of mobile users.

Dynamic Cloud Resource Migration for Efficient 3D Video Processing in Mobile Computing Environments

Web20 has revolutionized the way we use the Web by opening the doors of collaborative learning and direct communication and making the web an open source for learning and exchanging ideas The aim of this paper is to give Web20 its prominent aspect into e-Learning We present a design model for e-Learning corporate environments that incorporates the social and collaborative aspect of the knowledge transfer process, the quality peculiarities and the training requirements The introduction of the use of social networks in e-Learning will help improve the effectiveness of e-Learning in reaching its training objectives something that is currently lacking

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Katerina Papanikolaou

Papers

Critical success factors for the development of mobile learning applications

Energy Consumption Optimization Using Social Interaction in the Mobile Cloud

Resource and Scheduling Management in Cloud Computing Application Paradigm

Dynamic Cloud Resource Migration for Efficient 3D Video Processing in Mobile Computing Environments

Web2Train: a Design Model for Corporate e-Learning Systems.