Academic Journals Database
Disseminating quality controlled scientific knowledge


Author(s): Bernard Renaldy Suteja | Suryo Guritno | Retantyo Wardoyo | Ahmad Ashari

Journal: Makara Seri Sains
ISSN 1693-6671

Volume: 14;
Issue: 2;
Start page: 192;
Date: 2010;
Original page

Keywords: adaptive e-Learning | e-Learning | ontology | personalization e-Learning

Personalization of Ontology Based E-learning System. Today, a form of technology known as Web 2.0 thatthoroughly supports web-to-web interactions is present. Interactions, such as information sharing in the forms ofdocument sharing (slideshare), picture sharing (flickr), video sharing (youtube), Wikis, and online networking (weblogand web-forum) are principally accomodating community empowerment services. These factors cause the appearanceof social interaction through Internet as well as learning interaction and anywhere-anytime training which is recentlycalled e-Learning. Basically, e-Learning needs a self-employed learning method and learning habits that emphasize onthe learner as the most important role. However, e-learning system which is expected to boost the intensity of selfemployedlearning is uncapable to represent the importance. This is proven with the current e-Learning system inIndonesia that only accomodates the delivery of learning materials identical to all active learners, ignores the cognitiveaspects and does not offer any approach or experience of interactive self-learning and disregards the aspect of users’ability to adapt. The proposed e-learning system which is Web 2.0-based utilizes ontology as the representation ofmeaning of knowledge formed by the learner.
Affiliate Program     

Tango Rapperswil
Tango Rapperswil