Educational Data Mining
Educational Data Mining is a research discipline that applies data mining, machine learning, and statistical techniques to large-scale datasets generated in educational contexts to extract knowledge about learning processes and learners for the purpose of informing evidence-based educational decision-making and improving learning outcomes.
4.2K
Publications
200.7K
Citations
10K
Authors
2.7K
Institutions
Publications per year
2017–2026
2.4K
Variants
Edm
Parents
4.2K
1–5 of 4.2K
10K
37
h-index
27
h-index
26
h-index
24
h-index
22
h-index
1–5 of 10K
2.7K
Carnegie Mellon University
Pittsburgh, United States
30 h-index
133 publications
7.3K citations

Monash University
Melbourne, Australia
30 h-index
71 publications
4.3K citations
University of Córdoba
Córdoba, Spain
28 h-index
114 publications
19.6K citations

University of South Australia
Adelaide, Australia
26 h-index
59 publications
6K citations

King Abdulaziz University
Jeddah, Saudi Arabia
26 h-index
75 publications
5.3K citations

University of Edinburgh
Edinburgh, United Kingdom
26 h-index
70 publications
6K citations

The University of Sydney
Sydney, Australia
24 h-index
50 publications
3.4K citations
Stanford University
Stanford, United States
23 h-index
53 publications
4.2K citations
1–8 of 2.7K
84 publications · 4.7K citations
39
h-index
76 publications · 4.3K citations
38
h-index
43 publications · 7.7K citations
34
h-index
49 publications · 4.9K citations
34
h-index
38 publications · 5.3K citations
33
h-index
1–5
See also Educational Data Mining | |
|---|---|
Core Methods | Classification Decision Trees Naive Bayes Association Rule Mining Neural Networks Regression K-nearest Neighbors Clustering Visualization |
Applications | Student Retention Personalized Learning Dropout Prediction Curriculum Design Student Modeling Engagement Analysis Learner Performance Prediction School Resource Allocation |
Data Sources | Online Learning Intelligent Tutoring Systems Student Records |
Evaluation | |
Ethical Issues | Student Privacy Data Anonymization Discrimination Consent Learner Autonomy Privacy Leakage Data Access Controls |