5 research outputs found
Kernelised Rough Sets Based Clustering Algorithms Fused With Firefly Algorithm for Image Segmentation
Systems Approaches Enable Improved Collaboration in Two Regional Australian Natural Resource Governance Situations
A model to measure e-learning systems success
E-learning involves adopting and exploiting the potential of new, advanced Information Technology in development and delivery of education. In spite of a rapid growth in the e-learning field there still exists a range of issues facing the stakeholders of e-learning systems. One of the key issues is how to measure e-learning system success. Although considerable attention has been paid to the Information Systems success issue, there remain arguments about the factors which are most effective for measuring
Information System success. The issue of measuring Information System success has an impact on evaluating e-learning systems success. This chapter aims to fill this void by proposing an evaluation methodology model to assess e-learning systems success. The contribution of this study is the proposed model to evaluate the success of e-learning systems. The model is based on a thorough review of the
e-learning success literature and existing Information Systems success models