Using a Grid Platform for Enabling Real Time User Modeling in On-line Campus

User modelling in on-line distance learning is an important research field focusing on two important aspects: describing and predicting students' actions and intentions as well as adapting the learning process to students' features, habits, preferences, and so on. The aim is to greatly sti...

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Bibliographic Details
Published in:First International Conference on Complex, Intelligent, and Software Intensive Systems : April 10th-April 12th, 2007, Vienna University of Technology, Austria pp. 35 - 42
Main Authors: Caballe, S., Xhafa, F., Daradoumis, T., Esteve, J., Barolli, L., Durresi, A.
Format: Conference Proceeding Publication
Language:English
Published: IEEE 01.01.2007
Institute of Electrical and Electronics Engineers (IEEE)
Subjects:
Adaptive systems
Application software
Arquitectura de computadors
Arquitectures distribuïdes
Computer aided instruction
Computer science
Context modeling
Courseware
Distance education
Distance learning
Ensenyament a distància
Ensenyament i aprenentatge
Ensenyament virtual
Grid computing
Information analysis
Informàtica
Internet
Middleware
Peer to peer computing
Peer-to-peer architecture (Computer networks)
Predictive models
Software systems
TIC's aplicades a l'educació
Usability
User modelling
Web-based instruction
Xarxes punt a punt (Xarxes d'ordinadors)
Àrees temàtiques de la UPC
ISBN:0769528236, 9780769528236
Online Access:Get full text
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Summary:User modelling in on-line distance learning is an important research field focusing on two important aspects: describing and predicting students' actions and intentions as well as adapting the learning process to students' features, habits, preferences, and so on. The aim is to greatly stimulate and improve the learning experience. Indeed, on the one hand, students' intentions may change during the realization of learning activities and thus their actions evolve accordingly as the learning process moves forward. On the other hand, adaptive systems can effectively plan and design appropriate learning tasks according to students' features, habits and interests with the aim of facilitating the achievement of the learning goal. In this context, user modelling implies a continuous processing and analysis of user interaction data during long-term learning activities, which produces large and considerably complex information. As a consequence, processing this information is costly and could require computational capacity beyond that of a single computer. In this paper, we show how a grid approach can considerably decrease the processing time of log data of on-line distance educational Web-based systems. Our prototype is based on the master-worker paradigm and is implemented using a peer-to-peer platform running on the Planetlab nodes. The results of our study show the feasibility of using grid middleware to speed and scale up the processing of log data and thus achieve an efficient and dynamic user modeling in on-line distance learning
ISBN:0769528236
9780769528236
DOI:10.1109/CISIS.2007.54