Educational Data Mining: A Review

Author:

Bachhal P.,Ahuja S.,Gargrish S.

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lesson Engagement and Outlier Extraction Analytics Through Learning Log Classification;Perspectives on Learning Analytics for Maximizing Student Outcomes;2023-10-24

2. Improving Learning Outcomes through Predictive Analytics: Enhancing Teaching and Learning with Educational Data Mining;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

3. Sync Ratio and Cluster Heat Map for Visualizing Student Engagement;Educational Data Science: Essentials, Approaches, and Tendencies;2023

4. Student Course Score Prediction Based on Large-scale Multi-Source Data;TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON);2022-11-01

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