Recommendation plugin to facilitate student learning of the platform e-learning

Author

Moutachaouik, Hicham ; Douzi, Hassan ; Marzak, Abdelaziz ; Behja, Hicham ; Ouhbi, Brahim

fYear

2011

fDate

18-20 Dec. 2011

Firstpage

6

Lastpage

11

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Next Generation Networks and Services (NGNS), 2011 3rd International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-0138-1

Type

conf

DOI

10.1109/NGNS.2011.6142538

Filename

6142538