Big-Learn: Towards a Tool Based on Big Data to Improve Research in an E-Learning Environment

Abstract

In the area of data management for information system and especially at the level of e-learning platforms, the Big Data phenomenon makes the data difficult to deal with standard database or information management tools. Indeed, for educational purposes and especially in a distance training or online research, the learner that uses the e-learning platform is left with a heterogeneous set of data such as files of all kinds, curves, course materials, quizzes, etc. This requires a specialized fusion system to combine the variety of data and improve the performance, robustness, flexibility, consistency and scalability, so that they can provide the best result to the learner The user of the e-learning platform. In this context, it is proposed to develop a tool called "Big-Learn" based on a technique to integrate the mixing of structured and unstructured data in one data layer, and, in order to facilitate access more optimal search relevance with adequate and consistent results according to the expectations of the learner. The methodology adopted will consist initially in a quantitative and qualitative study of the variety of data and their typology, followed by a detailed analysis of the structure and harmonization of the data to finally find a fictional model for their treatment. This conceptual work will be crowned with a working prototype as a tool achieved with UML and Java technology.

Authors and Affiliations

Karim Abdelouarit, Boubker Sbihi, Noura Aknin

Keywords

Related Articles

Cost Effective System Modeling of Active Micro- Module Solar Tracker

The increasing interests in using renewable energies are coming from solar thermal energy and solar photovoltaic systems to the micro production of electricity. Usually we already have considered the solar tracking topol...

The Opportunities and the Limitations of Using the Independent Post-Editor Technology in Translation Education

A new mechanical function known as post-editing, which helps to correct the imperfections of raw machine translation output, is introduced in the translation market. While this function is commonly used as an integral pa...

Automated Knowledge Acquisition Framework for Supply Chain Management based on Hybridization of Case based Reasoning and Intelligent Agent

Throughout the past few years, there has been notable research effort directed towards developing automated knowledge acquisition (KA) in order to automate knowledge acquisition in Supply Chain Management (SCM) applicati...

Simulation of a WiMAX network to evaluate the performance of MAC IEEE 802.16 during the IR phase of Network Entry and Initialization

Pervasive Computing is also called as Ubiquitous Computing, which means “being present everywhere at once” or “constantly encountered”. The main idea behind making these pervasive computing systems is that these systems...

Frequency Reconfigurable Vivaldi Antenna with Switched Resonators for Wireless Applications

In this paper, a frequency reconfigurable Vivaldi antenna with switched slot ring resonators is presented. The principle of the method to reconfigure the Vivaldi antenna is based on the perturbation of the surface curren...

Download PDF file
  • EP ID EP122731
  • DOI 10.14569/IJACSA.2015.061008
  • Views 105
  • Downloads 0

How To Cite

Karim Abdelouarit, Boubker Sbihi, Noura Aknin (2015). Big-Learn: Towards a Tool Based on Big Data to Improve Research in an E-Learning Environment. International Journal of Advanced Computer Science & Applications, 6(10), 59-63. https://europub.co.uk/articles/-A-122731