The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Various methods of E-learning systems, based on information and communications, and
geared towards improving learning effectiveness and students' attention span, have been …

Adaptive systems refer to autonomous interactive systems that adjust their behavior and
functionality to environmental changes. In e-learning context, adaptive e-learning systems …

This thesis is primarily concerned with the effects of education for future teachers in the
context of the Swedish teacher training (Government Bill 1999/2000: 135 2000). It belongs to …

Abstract Background/Objectives: After a deep survey carried out by the National data
premises with stats which reveals that the insufficient models which are existing in the real …

This paper outlines the educational advantages provided by adaptive systems and stresses
the importance of the user model in the task of adaptation. The paper also establishes a …

The significance of personalization towards learnersâ?? needs has recently been agreed by
all web-based instructional researchers. This study presents a novel ontol-ogy semantic …

In recent years, e-learning systems such as massive open online courses (MOOC) have
been widely employed in academic institutions and have shown its power in enhancing the …

The success of web technologies has led to a growing attention on e-learning activities.
However, most current e-Learning systems provide static web-based learning so that …