Social Learners’ Profiles in a Distance Learning System Powered by a Social Network

Abstract

This work is integrated into the general problem of the research systems of distance learning; and more particularly in the monitoring and the positioning of social profile learners in a distance learning system powered by a social network. In this article, we propose a model multi-entry to determine the learners’ profile and positioning his social type. This template allows you to exploit the different traces generated by a learner in the platform and produce indicators on his own profile. Our approach leverages the tools of the fuzzy set theory, the modal and temporal logic. The motivation of this research is to create a tool which helps the tutor to better observe and follow the actions of the learners at the level of the learning platform, and to anticipate potential discouragements or abandonment of the learner.

Authors and Affiliations

HROR Naoual, OUMAIRA Rochdi

Keywords

Related Articles

A Smartwatch Centric Social Networking Application for Alzheimer People

In recent years, people are increasingly interacting with an overwhelming of devices especially wearable devices. These later have initiated new ways in human connections with the world. The basic concept of these device...

Vectorization of Text Documents for Identifying Unifiable News Articles

Vectorization is imperative for processing textual data in natural language processing applications. Vectorization enables the machines to understand the textual contents by converting them into meaningful numerical repr...

Data Flow Sequences: A Revision of Data Flow Diagrams for Modelling Applications using XML

Data Flow Diagrams were developed in the 1970’s as a method of modelling data flow when developing information systems. While DFDs are still being used, the modern web-based which is client-server based means that DFDs a...

Different Classification Algorithms Based on Arabic Text Classification: Feature Selection Comparative Study

Feature selection is necessary for effective text classification. Dataset preprocessing is essential to make upright result and effective performance. This paper investigates the effectiveness of using feature selection....

Fidelity Based On Demand Secure(FBOD) Routing in Mobile Adhoc Network

In mobile ad-hoc network (MANET), secure routing is a challenging issue due to its open nature, infrastructure less property and mobility of nodes. Many mobile ad-hoc network routing schemes have been proposed, but none...

Download PDF file
  • EP ID EP137053
  • DOI 10.14569/IJACSA.2014.050817
  • Views 98
  • Downloads 0

How To Cite

HROR Naoual, OUMAIRA Rochdi (2014). Social Learners’ Profiles in a Distance Learning System Powered by a Social Network. International Journal of Advanced Computer Science & Applications, 5(8), 111-116. https://europub.co.uk/articles/-A-137053