Taxonomy of e-learning systems problems with data mining techniques-review

Over the past few years Data Mining has emerged as a field of investigation concerned with automating the process of finding patterns with in large volumes of data[1]. This Paper aims at providing an up-to-date snapshot of the current state of research and applications of Data Mining methods in e-learning. Thereby we have aimed at providing a taxonomy of e-learning problems to which Data Mining techniques have been applied, including, for instance: Students’ classification based on their learning performance; detection of irregular learning behaviors; elearning system navigation and interaction optimization; clustering according to similar elearning system usage; and systems’ adaptability to students’ requirements and capacities. This paper elaborates each of these tasks in detail. An up-to date survey of the existing work is also provided.