Title :
Recommendation plugin to facilitate student learning of the platform e-learning
Author :
Moutachaouik, Hicham ; Douzi, Hassan ; Marzak, Abdelaziz ; Behja, Hicham ; Ouhbi, Brahim
Abstract :
The objective of this work is the conception and the realization of a recommendatory system, using concepts of the web usage mining and being inspired by approaches to information filtering. This system will propose to the Webmaster (or admin) from a platform for distance learning the best documents available on the web basis on the historical research done by learners. It is, actually a meta-search engine on the web, integrated into the e-learning platform to keep surfing traces of the learner during his searching. This will permit to have a usage basis that will be used by the system to help webmaster (admin) to make decisions about the documents to be added to the platform. The elaborated system will make it passible to propose help and assistance to learners of the platform.
Keywords :
Internet; computer aided instruction; data mining; distance learning; information filtering; recommender systems; search engines; Web usage mining; Webmaster; distance learning; e-learning platform; information filtering; meta search engine; recommendation plugin; recommendatory system; student learning facilitation; Collaboration; Electronic learning; Information filtering; Java; Knowledge engineering; Navigation; Moodle; classification; decision theory; e-learning; information filtering knowledge discovery; information retrieval; recommendation system; web usage mining;
Conference_Titel :
Next Generation Networks and Services (NGNS), 2011 3rd International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-0138-1
DOI :
10.1109/NGNS.2011.6142538
