Computer
An Evaluation of Open Source E-Learning Platforms Stressing Adaptation Issues
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Analysis of e-learning processes
Proceedings of the 2011 Workshop on Open Source and Design of Communication
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Hi-index | 0.00 |
In this work the UFSC (Federal University of Santa Catarina) and the FGV-RJ (Fundação Getúlio Vargas do Rio de Janeiro) jointly propose the use of a data mining tool to support the analysis of trends, students profiles, as well as to estimate or foresee the usability level of courses being offered, via Moodle, in the Education area. The study carried out by UFSC on the Moodle database allowed a deep understanding of its database, thus making it easier for the Moodle community to execute important tasks, such as the maintenance of the Moodle database, its adaptation following an institutional customization, and, also, a data mart project by the FGV-Online Program to make the necessary analysis possible. In the end of this paper, an example on its applicability is presented, using the association rules technique. Once a data mart oriented to the analysis of the system's usability is developed, various analyses with different objectives can be executed using the database. Some may use the method proposed here or others, including different data mining approaches, such as clustering, neural networks etc. As such, a new contribution is given to the Moodle community.