Open AccessEducational Data Mining: A Review
Author(s) -
Prabhnoor Bachhal,
Sachin Ahuja,
S. Gargrish
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1950/1/012022
Subject(s) - educational data mining , data science , field (mathematics) , computer science , data analysis , learning analytics , data mining , mathematics , pure mathematics
Data mining in the field of education plays a vital role. The main objective of this analysis is to understand how researchers have done data mining in the past and the current data mining developments in educational research. It describes how academic data and learning analytics applied to academic data. EDM uses computational methods to evaluate data concerning education to research questions related to education. This paper discusses the most important studies conducted to date in this area. EDM is implemented and the various user groups, various educational environments/data are defined. The problem solved by data mining techniques in different areas to improve the success of students is addressed.