Tracking system based on traces analysis and SVM classification

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-33 Number-2
Year of Publication : 2016
Authors : Amali Said, EL Faddouli Nour-eddine, Mourchid Mohammed
  10.14445/22312803/IJCTT-V33P115

MLA

Amali Said, EL Faddouli Nour-eddine, Mourchid Mohammed "Tracking system based on traces analysis and SVM classification". International Journal of Computer Trends and Technology (IJCTT) V33(2):71-75, March 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
For several years, the Moroccan universities have put themselves in the digital technology with an increasingly sustained development of the e-learning. In this context, we have adopted a blended learning approach to support the face-to-face learning in the school of law and economics at Meknes. The success of such learning system is based on a good learners tracking by a tutor who needs accurate and aggregated information’s to identify learners who need support to progress in their learning path. We propose in this paper a tracking system based on traces analysis and classification with SVM. This system is composed of several web services.

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Keywords
Blended-learning; e-learning; trace analysis, learner’s tracking; classification; method of binary SVM, web service.