68,530 research outputs found
A GRID-BASED E-LEARNING MODEL FOR OPEN UNIVERSITIES
E-learning has grown to become a widely
accepted method of learning all over the world. As a
result, many e-learning platforms which have been
developed based on varying technologies were faced
with some limitations ranging from storage
capability, computing power, to availability or access
to the learning support infrastructures. This has
brought about the need to develop ways to
effectively manage and share the limited resources
available in the e-learning platform. Grid computing
technology has the capability to enhance the quality
of pedagogy on the e-learning platform.
In this paper we propose a Grid-based e-learning
model for Open Universities. An attribute of such
universities is the setting up of multiple remotely
located campuses within a country.
The grid-based e-learning model presented in
this work possesses the attributes of an elegant
architectural framework that will facilitate efficient
use of available e-learning resources and cost
reduction, leading to general improvement of the
overall quality of the operations of open universities
A Grid-based e-learning model for Open Universities
E-learning has grown to become a widely accepted method of learning all over the world. As a result, many e-learning platforms which have been developed based on varying technologies were faced with some limitations ranging from storage capability, computing power, to availability or access to the learning support infrastructures. This has brought about the need to develop ways to effectively manage and share the limited resources available in the e-learning platform. Grid computing technology has the capability to enhance the quality of pedagogy on the e-learning platform. In this paper we propose a Grid-based e-learning model for Open Universities. An attribute of such universities is the setting up of multiple remotely located campuses within a country. The grid-based e-learning model presented in this work possesses the attributes of an elegant architectural framework that will facilitate efficient use of available e-learning resources and cost reduction, leading to general improvement of the overall quality of the operations of open universitie
DRIVER Technology Watch Report
This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field
Plotting virtuality : dimensions of eLearning space
The term eLearning enjoys wide currency, but is loosely employed. A lack of clarity as to its nature accompanies a lack of understanding as to its applications and appropriate use. These are important issues, as political, educational and commercial policy-makers need an informed frame of reference from which to make decisions regarding the employment of eLearning alongside or in the place of existing methods of education and training. There is also a need for accurate description of eLearning products for the clients who might use them. This paper seeks to provide contextual and internal analyses of eLearning as an initial stage in the process of creating such a frame of reference. Firstly, eLearning is located within a variety of education and training contexts so as to delineate its boundaries, and an overview is made of ways in which it is employed at higher education level within private, corporate and state-funded systems. Secondly, earlier conceptual models for eLearning are examined and a model is proposed comprising four dimensions of virtual space: course utility, study flexibility, delivery technology and learning paradigm. A graphical representation of the dimensional model is used to profile the different contexts for eLearning explored earlier; this method of visualisation affords ready comparison of the variety of ways in which eLearning is employed. Thirdly, a rationale is advanced for these dimensions, which are then discussed in relation to typical learning activities. Finally, consideration is given to how the dimensional model might be applied in the areas of learner appeal, course marketing, educational systems design and course quality evaluation
Learning landscapes for universities: mapping the field [or] Beyond a seat in the lecture hall: a prolegemenon of learning landscapes in universities
This is the first in a series of project working papers. Its aim is to commence the development of a shared vocabulary so that visioning learning landscapes can be realised in the appropriate development of academic estate. The paper explores first, how the terminology of learning landscapes has been employed elsewhere. Secondly, its connections with university conceptualisations past and present are explored as this project aims to retain the strengths of traditional academic environments together with new designs. The impetus to its emergence is next reviewed , its constituent elements and any evidence of estates-related literature. Finally a definition is essayed.
Includes an abbreviated version (p.11-14)
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The OpenupEd quality label: benchmarks for MOOCs
In this paper we report on the development of the OpenupEd Quality Label, a self-assessment and review quality assurance process for the new European OpenupEd portal (www.openuped.eu) for MOOCs (massive open online courses). This process is focused on benchmark statements that seek to capture good practice, both at the level of the institution and at the level of individual courses. The benchmark statements for MOOCs are derived from benchmarks produced by the E xcellence e learning quality projects (E-xcellencelabel.eadtu.eu/). A process of self-assessment and review is intended to encourage quality enhancement, captured in an action plan. We suggest that a quality label for MOOCs will benefit all MOOC stakeholders
Lessons from the future: ICT scenarios and the education of teachers
This paper reviews significant events of the last 25 years in schools and teacher education in England and looks ahead to the next 25 years. Various scenarios for the future are examined and the potential is considered for new forms of teachers' initial education and continuing professional development using information and communications technology. It is concluded that the current centrally-controlled national system is increasingly inappropriate to present needs and will fracture under the combination of pressures of a commodified education market, learners' consumerist expectations of personalised provision, and networks of informal learning enabled by widespread access to portable communications technology. Four lessons from this future prediction are drawn, with recommendations for radical changes in government policy and orientation. © 2005 Taylor & Francis
High-Performance Cloud Computing: A View of Scientific Applications
Scientific computing often requires the availability of a massive number of
computers for performing large scale experiments. Traditionally, these needs
have been addressed by using high-performance computing solutions and installed
facilities such as clusters and super computers, which are difficult to setup,
maintain, and operate. Cloud computing provides scientists with a completely
new model of utilizing the computing infrastructure. Compute resources, storage
resources, as well as applications, can be dynamically provisioned (and
integrated within the existing infrastructure) on a pay per use basis. These
resources can be released when they are no more needed. Such services are often
offered within the context of a Service Level Agreement (SLA), which ensure the
desired Quality of Service (QoS). Aneka, an enterprise Cloud computing
solution, harnesses the power of compute resources by relying on private and
public Clouds and delivers to users the desired QoS. Its flexible and service
based infrastructure supports multiple programming paradigms that make Aneka
address a variety of different scenarios: from finance applications to
computational science. As examples of scientific computing in the Cloud, we
present a preliminary case study on using Aneka for the classification of gene
expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape
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