A semantic web technology based framework for educational-offer selection in higher education

Author(s):  
Sandeep Kumar ◽  
Kuldeep Kumar ◽  
Ankita Jain
2014 ◽  
Vol 61 ◽  
pp. 59-68 ◽  
Author(s):  
Hak-Jin Kim ◽  
Yongjun Zhu ◽  
Wooju Kim ◽  
Taimao Sun

Annals of GIS ◽  
2004 ◽  
Vol 10 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Stahl Christoph ◽  
Heckmann Dominik

Author(s):  
George Anadiotis ◽  
Panos Alexopoulos ◽  
Konstantinos Mpaslis ◽  
Aristotelis Zosakis ◽  
Konstantinos Kafentzis ◽  
...  

Author(s):  
Harith Alani ◽  
David Dupplaw ◽  
John Sheridan ◽  
Kieron O’Hara ◽  
John Darlington ◽  
...  

Author(s):  
Raadila Bibi Mahmud Hajee Ahmud-Boodoo

A number of 3.0 e-learning systems have been proposed in the literature to capture the numerous benefits that the Semantic Web has to offer to the higher education sector. These 3.0 e-learning systems identify some essential Semantic Web characteristics that are either discussed as stand-alone factors or tend to revolve around the complexities of the Semantic Web technology and its implementation, often disregarding users' needs. Conversely, a comprehensive analysis of e-learning models for higher education in the literature revealed several Critical Success Factors (CSFs) that are relevant to the Semantic Web but often overlooked in 3.0 e-learning models. Consequently, this chapter provides an overview of the CSFs of e-learning relevant to 3.0 e-learning systems as well as an overview of the main Semantic Web characteristics for e-learning to define a new and combined set of 3.0 e-learning characteristics that will holistically represent 3.0 e-learning systems capturing the needs and expectations of users. The new initial 3.0 e-learning model proposed is evaluated within the higher education sector in Mauritius.


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