A Grid-Based Approach for Processing Group Activity Log Files

Abstract : The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information in order to extract, reveal and provide students and tutors with valuable knowledge, awareness and feedback in order to successfully perform the collaborative learning activity. However, the large amount of information generated during online group activity may be timeconsuming to process and, hence, can hinder the real-time delivery of the information. In this study we show how a Grid-based paradigm can be used to effectively process and present the information regarding group activity gathered in the log files under a collaborative environment. The computational power of the Grid makes it possible to process a huge amount of event information, compute statistical results and present them, when needed, to the members of the online group and the tutors, who are geographically distributed. (http://www.springerlink.com/content/jduq0njlp59rf6fk/)
keyword : learning grids
Document type :
Conference papers
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Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:58:17 AM
Last modification on : Tuesday, April 16, 2019 - 10:29:40 AM




Fatos Xhafa, Santi Caballé, Thanasis Daradoumis, Nan Zhou. A Grid-Based Approach for Processing Group Activity Log Files. Workshop on Grid Computing and Its Application to Data Analysis (GADA), 2004, Larnaca, Cyprus. Springer Berlin / Heidelberg, LNCS 3292, pp.175-186, 2004, Lecture Notes in Computer Science. 〈10.1007/b102133〉. 〈hal-00190814〉



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