↓ Skip to main content

Educational Data Mining

Overview of attention for book
Cover of 'Educational Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Which Contribution Does EDM Provide to Computer-Based Learning Environments?
  3. Altmetric Badge
    Chapter 2 A Survey on Pre-Processing Educational Data
  4. Altmetric Badge
    Chapter 3 How Educational Data Mining Empowers State Policies to Reform Education: The Mexican Case Study
  5. Altmetric Badge
    Chapter 4 Modeling Student Performance in Higher Education Using Data Mining
  6. Altmetric Badge
    Chapter 5 Using Data Mining Techniques to Detect the Personality of Players in an Educational Game
  7. Altmetric Badge
    Chapter 6 Students’ Performance Prediction Using Multi-Channel Decision Fusion
  8. Altmetric Badge
    Chapter 7 Predicting Student Performance from Combined Data Sources
  9. Altmetric Badge
    Chapter 8 Predicting Learner Answers Correctness Through Eye Movements with Random Forest
  10. Altmetric Badge
    Chapter 9 Mining Domain Knowledge for Coherence Assessment of Students Proposal Drafts
  11. Altmetric Badge
    Chapter 10 Adaptive Testing in Programming Courses Based on Educational Data Mining Techniques
  12. Altmetric Badge
    Chapter 11 Educational Data Mining
  13. Altmetric Badge
    Chapter 12 Finding Dependency of Test Items from Students’ Response Data
  14. Altmetric Badge
    Chapter 13 Mining Texts, Learner Productions and Strategies with ReaderBench
  15. Altmetric Badge
    Chapter 14 Maximizing the Value of Student Ratings Through Data Mining
  16. Altmetric Badge
    Chapter 15 Data Mining and Social Network Analysis in the Educational Field: An Application for Non-Expert Users
  17. Altmetric Badge
    Chapter 16 Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
96 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Educational Data Mining
Published by
Springer International Publishing, November 2013
DOI 10.1007/978-3-319-02738-8
ISBNs
978-3-31-902737-1, 978-3-31-902738-8, 978-3-31-934499-7
Editors

Peña-Ayala, Alejandro

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 10%
Student > Ph. D. Student 6 6%
Professor > Associate Professor 5 5%
Student > Bachelor 4 4%
Student > Doctoral Student 3 3%
Other 8 8%
Unknown 60 63%
Readers by discipline Count As %
Computer Science 18 19%
Economics, Econometrics and Finance 3 3%
Chemical Engineering 2 2%
Mathematics 1 1%
Nursing and Health Professions 1 1%
Other 6 6%
Unknown 65 68%