Big-Learn: Towards a Tool Based on Big Data to Improve Research in an E-Learning Environment
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 10
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
Vehicle Embedded Data Stream Processing Platform for Android Devices
Automotive information services utilizing vehicle data are rapidly expanding. However, there is currently no data centric software architecture that takes into account the scale and complexity of data involving numerous...
A New Automatic Method to Adjust Parameters for Object Recognition
To recognize an object in an image, the user must apply a combination of operators, where each operator has a set of parameters. These parameters must be “well” adjusted in order to reach good results. Usually, thi...
Underwater Optical Fish Classification System by Means of Robust Feature Decomposition and Analysis using Multiple Neural Networks
Live fish recognition and classification play a pivotal role in underwater understanding, because it help scientists to control the subsea inventory in order to aid fishery management. However, despite technological prog...
Pedestrian Safety with Eye-Contact between Autonomous Car and Pedestrian
Method for eye-contact between autonomous car and pedestrian is proposed for pedestrian safety. The method allows to detect the pedestrian who would like to across a street through eye-contact between an autonomous drivi...
The result oriented process for students based on distributed datamining
The student result oriented learning process evaluation system is an essential tool and approach for monitoring and controlling the quality of learning process. From the perspective of data analysis, this pap...