A Machine Learning Framework for Identifying Learning Levels of Students in Higher Education
Keywords:
Education Data Mining (EDM), education/dataanalyst, Machine Learning, slow learners.Abstract
The Educational data Mining (EDM) is one of the challenging and emerging fields in the area of computer sciences that analyze the data as per the requirement of the education/data analyst. The need of the EDM is of paramount importance wherein the data that pertains to the students are critically analyzed and the inferences are drawn. This paper will explore the area and propose a Machine Learning Framework for Identifying Learning Levels of Students in Higher Education. The main aim of this paper is to identify the slow learners in the education institutions by extracting the patterns from the data so that the appropriate strategies may be adopted thereafter to bridge the learning gap among the students.
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