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The role of Learning Analytics in Educational Data Mining

Shalini,Robinson Joel, B Muthazhagan

Published in:   Vol. 9 Issue 2 Date of Publication:   December 2020
Page(s):   1-4 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA. SAI :

EDM (Educational Data Mining) is a data mining algorithm that is used in the field of education. Data mining is a multidisciplinary field that combines artificial intelligence, machine learning, statistics, and database systems to produce results. Data mining may be used in a number of ways in the educational industry to improve student performance and educational institution reputation. Data gathering can indeed be applied to a broad variety of applications in the education system for the aim of boosting student performance and also the status of academic institutions, thanks to the emergence of new technologies that can harness data children s educational and the massive expansion in data sources.EDM refers to the procedures for analysing data from the learning environment in order to have a better understanding of students in their learning environment. The ability for teachers to gain real-time insight about the performance of students, including those who are at risk, can be extremely beneficial in arranging educational activities. It can be motivating and encouraging for students to get information about their performance in comparison to their peers or their progress toward their specific goals. Learning environment data has grown in size in recent years, necessitating the employment of Big Data technologies and methods to manage it. Databases that do not employ typical SQL-based queries are used to address this problem. Data is compressed at rest and in memory using compression algorithms. Before being aggregated, data is broken into smaller pieces and analysed by a huge number of devices spread around the network.