Study of Tools and Techniques Used to Analyzing Student’s Database for Academic Growth in Higher Education: a Review

Author Sanjeev Gour
Co-Author Mamta Gour
DOI

Country : India
Subject : Education

Keywords : Data Mining, Educational Data Mining, Academic data analysis

Abstract

Now days, most of institutes and colleges of higher education are facing of challenges and problems regarding academic issues like student’s admissions, academic performance and placements. In this regards, almost institutions and colleges of higher education collected and analysed vast dataset of their students by means of various tools and techniques to extract some useful and hidden information. This information can then used to make better and efficient policies related to various academic issues. Data mining is one of such powerful tool or technique for analysis big data. This tool and its techniques are also successfully applying in the field of education for analysing vast dataset of students in any higher educational institute. This application area is known as Educational Data Mining (EDM).This review based paper presents a comprehensive study of many tools and techniques of Data Mining which have been used to analyses student’s database. This study conclude that there are considerable amount of work is done in this field and even nowadays, there is a wide scope of this tool in educational domain but still there are many untouched techniques which can be used in this field. This study, of course presents a clear approach among researchers to understand the scopes, opportunities and future prospects in this filed.

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