Academic Progression of Students Using Machine Learning Algorithms

ISBN-13: 9786204983929 / Angielski / Miękka / 148 str.

Sujith J

Opis

Education Data Mining is vividly advancing in the field of research due to the increasing amount of data on a daily basis. EDM deals with extracting meaningful information from the education setting. To analyse and understand the ever-growing education data, Machine learning algorithms are employed to classify and cluster the datasets. Research in this field focuses on understanding the behaviour analysis of students, classifying the students to predict the academic outcome, clustering the students based on various factors that can influence the performance and many more. Many researchers have recommended a recommender system to achieve the goal of identifying and classifying the students based on their performance.

O autorze

Sujith Jayaprakash is a highly motivated business development professional with a strong background in IT Training and administration. He has over a decade of experience in the education sectors in India, Africa and Latin America with significant experience in Senior Management roles and leading institutional academic delivery improvement.