An Agent Based E-Learning Framework for Grid Environment
This chapter presents how Grid can be used to build an e-learning framework which is flexible, convenient, cost-effective, and adaptable. Grid technologies are appealing due to the fact that the requirements for developing such framework match very closel
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An Agent Based E-Learning Framework for Grid Environment Sarbani Roy, Ajanta De Sarkar and Nandini Mukherjee
Abstract This chapter presents how Grid can be used to build an e-learning framework which is flexible, convenient, cost-effective, and adaptable. Grid technologies are appealing due to the fact that the requirements for developing such framework match very closely what a Grid can offer in terms of computational and storage resources. On the other hand, agent-based technology can make e-learning Grid more efficient. A few autonomous, co-operative agents with predefined functionalities and responsibilities provide more powerful and reliable e-learning system. The objective of this chapter is to accomplish a blended e-learning Grid framework, where the framework is designed as a multi-agent system integrated with Grid. This chapter also presents the implementation of an e-learning system as Grid services and analysis of the benefits of e-learning Grid system. Keywords E-learning
Grid Multi-agent
5.1 Introduction In recent years, there has been a growing interest to reduce costs of establishing learning environment systems. Modern e-learning systems are envisioned as adaptable, interactive, distributed and collaborative systems. Over the Internet, S. Roy (&) N. Mukherjee Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032, India e-mail: [email protected]; [email protected] N. Mukherjee e-mail: [email protected] A. De Sarkar Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Kolkata Campus, Kolkata 700107, India e-mail: [email protected]
M. Ivanovic´ and L. C. Jain (eds.), E-Learning Paradigms and Applications, Studies in Computational Intelligence 528, DOI: 10.1007/978-3-642-41965-2_5, Springer-Verlag Berlin Heidelberg 2014
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learners can effectively realize the learning process at any time from anywhere. Generally, e-learning systems are designed using client/server, peer to peer; and recently web service architectures. These systems have major drawbacks because of their limitations in scalability, availability, distribution of computing power and storage system, as well as sharing information between users that contribute in these systems. Therefore, there is a need to redesign the e-learning system to meet the needs better. Moreover, complex applications which are computationally intensive and handle large data sets have been ignored in the context of e-learning up to now, mainly due to technical feasibility problems and prohibitively high costs. Grid computing can close this gap and enable new types of e-learning applications. Computations and data can be distributed on Grid if local computers fail to handle them. Using the concept of virtual organization in Grid, users and organizations can be effectively grouped for cooperative learning. Hence, elearning systems can be extended to e-learning Grids in which Grid computing functionalities are integrated. On the other hand, throu
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