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2020 | OriginalPaper | Chapter

Research on Educational Data Mining Based on Big Data

Authors : Xuping He, Wensheng Tang, Jia Liu, Bo Yang, Shengchun Wang

Published in: e-Learning, e-Education, and Online Training

Publisher: Springer International Publishing

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Abstract

Educational data mining (EDM) is a cross-disciplinary technology involving computer science, education, statistics, etc. It analyzes and mines education-related data to discover and solve various types of education problems. To make them better understand students and their learning environment and improve the teaching effect of teachers. Under the background of big data, EDM research will usher in a new development space. This paper first analyzes the latest research status of EDM at home and abroad, and then focuses on the progress of EDM in the context of big data in recent years. It summarizes the characteristics, shortcomings and development trends of EDM in the context of big data. Finally, it discusses the opportunities and challenges faced by EDM in the era of big data.

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Metadata
Title
Research on Educational Data Mining Based on Big Data
Authors
Xuping He
Wensheng Tang
Jia Liu
Bo Yang
Shengchun Wang
Copyright Year
2020
Book
e-Learning, e-Education, and Online Training

Print ISBN: 978-3-030-63954-9

Electronic ISBN: 978-3-030-63955-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-63955-6_23

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