Machine Learning in Education Assignment Help

Introduction
Machine learning, also known as Educational Data Mining (EDM), is the process and application of data mining techniques with the objective of improving the process of education, and outcomes of educational systems. DM is the process of extracting and interpreting useful data, which has been in existence for long time in finance, science, commerce, and other academic fields for decision making and other relevant purposes. DM is extensively used in retail sector in preparing market research reports (Han, Kamber and Pei, 2016).
EDM has the purpose of exploring interesting and unique data in relation to interactions and settings in order to understand clearly where and what improvements are necessary for betterment of the process (Barker and Yacef, 2019). Two trends are clearly visible in today’s educational system; one is the increased use of software and huge database that is changing the learning process, and the other is e-learning in which internet is used to access myriad ways of educational interactions. In the system of DMR raw data are extracted, processed, and developed into useful information for educational software developers, teachers, academic researchers, and other stakeholders of the education system. EDM collects raw data from the education system, processes it and develops knowledge, which then goes back to the system for its improvement.

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