The Learning Grid and E-Assessment using Latent Semantic Analysis

E-assessment is an important component of e-learning and e-qualification. Formative and summative assessment serve different purposes and both types of evaluation are critical to the pedagogicalprocess. While students are studying, practicing, working, or revising, formative assessment provides direction, focus, and guidance. Summative assessment provides the means to evaluate a learner's achievement and communicate that achievement to interested parties. Latent Semantic Analysis (LSA) is a statistical method for inferring meaning from a text. Applications based on LSA exist that provide both summative and formative assessment of a learner's work. However, the huge computational needs are a major problem with this promising technique. This paper explains how LSA works, describes the breadth of existing applications using LSA, explains how LSA is particularly suited to e-assessment, and proposes research to exploit the potential computational power of the Grid to overcome one of LSA's drawbacks

A dependable and economic service for long-life e-learning applications in grid environments

AbstractDeveloping highly available, reliable, scalable and mobile educational systems are so difficult or impossible in the client-server and web service architectures. On the other hand, a grid environment is such a large distributed system that it supports large numbers of distributed resources sharing. The grid environment can be used as a good platform for the long-life, online and mobile educational applications which need high availability, reliability and scalability. The possibility of failure occurrence on the educational resources during a running educational application on the grid environment is not negligible. This paper proposes a dependable and economic learning service in grid systems. The other focus in this paper is to minimize educational resource consumption and consequently decrease the cost of requested learning services by the learners in the economic grid. A hybrid and dynamic resource management method is used to improve the availability, reliability, scalability and stability of learning service with low resource consumption. An analytical approach, Markov model, is used to show the availability, reliability, stability improvement in the proposed method

Modelbased accounting and charging systems for digital products in the e-learning

In der Arbeit wurde ein Konzept entwickelt, das eine modellbasierte Betrachtung des Pricings digitaler Produkte ermöglicht

Shaping e-Learning applications for a service oriented GriD

The paper discusses technical issues related to establishment of e-learning services on a grid. The XML based technology for implementation of e_learning application in the form of web service is analyzed from the perspective of making an application grid-aware. The special e_learning repository service is proposed as a technique for coordinated use of distributed e_learning resources through the access and invocation of web services