An Analysis on Tools and Techniques of Educational Data Mining Learning Analytics: Some Methodology | Original Article

ABSTRACT:

Educational data mining and learning analytics are used to research and build models in several areas that can influence learning systems. Higher education institutions are beginning to use analytics for improving the services they provide and for increasing student grades and retention. With analytics and data mining experiments in education starting to proliferate, sorting out fact from fiction and identifying research possibilities and practical applications are not easy. This paper begins with some considerations on big data in education. Then the principal analysis methods used with educational data are reviewed and are illustrated with some of the tasks they solve. Current emerging trends are presented. Analysis of educational data on a routine basis to understand learning and teaching better and to improve them is not a reality yet. The paper concludes with challenges on the way.