Analysis of Popular Techniques Used in Educational Data Mining
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Abstract
The importance of data mining is increasing in education field as it can help both in the improvement of education system and in the growth of students by making predictions. Educational Data Mining (EDM) is a young interdisciplinary work field that helps to deal with the data related to educational perspective. Today, educational institutions collect and archive massive quantities of data, such as students registration, attendance as well as the exam results. Mining of this data helps the institutions to understand students behaviour and interests by extracting all the useful information from the huge data available. Different data mining techniques are being used for mining the data in educational field. Now days, the Artificial Intelligence and Machine Learning techniques are more popular among the researchers to extract the information from the educational databases, as these provide more reliable results as compared to other techniques. In this paper, many popular data mining techniques have been reviewed that are being applied on the educational data to solve the different problems faced by the students so as to improve the learning outcomes of the students.
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How to Cite
SATINDER BAL GUPTA, Raj Kumar Yadav, & Shivani Gupta. (2020). Analysis of Popular Techniques Used in Educational Data Mining. International Journal of Next-Generation Computing, 11(2), 137–162. https://doi.org/10.47164/ijngc.v11i2.178
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