Educational Data Mining

Applications and Trends

Editors:

ISBN: 978-3-319-02737-1 (Print) 978-3-319-02738-8 (Online)

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xviii

  2. Profile

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-28

      Which Contribution Does EDM Provide to Computer-Based Learning Environments?

    3. No Access

      Chapter

      Pages 29-64

      A Survey on Pre-Processing Educational Data

    4. No Access

      Chapter

      Pages 65-101

      How Educational Data Mining Empowers State Policies to Reform Education: The Mexican Case Study

  3. Student Modeling

    1. Front Matter

      Pages 103-103

    2. No Access

      Chapter

      Pages 105-124

      Modeling Student Performance in Higher Education Using Data Mining

    3. No Access

      Chapter

      Pages 125-150

      Using Data Mining Techniques to Detect the Personality of Players in an Educational Game

    4. No Access

      Chapter

      Pages 151-174

      Students’ Performance Prediction Using Multi-Channel Decision Fusion

    5. No Access

      Chapter

      Pages 175-202

      Predicting Student Performance from Combined Data Sources

    6. No Access

      Chapter

      Pages 203-226

      Predicting Learner Answers Correctness Through Eye Movements with Random Forest

  4. Assessment

    1. Front Matter

      Pages 227-227

    2. No Access

      Chapter

      Pages 229-255

      Mining Domain Knowledge for Coherence Assessment of Students Proposal Drafts

    3. No Access

      Chapter

      Pages 257-287

      Adaptive Testing in Programming Courses Based on Educational Data Mining Techniques

    4. No Access

      Chapter

      Pages 289-327

      Plan Recognition and Visualization in Exploratory Learning Environments

    5. No Access

      Chapter

      Pages 329-342

      Finding Dependency of Test Items from Students’ Response Data

  5. Trends

    1. Front Matter

      Pages 343-343

    2. No Access

      Chapter

      Pages 345-377

      Mining Texts, Learner Productions and Strategies with ReaderBench

    3. No Access

      Chapter

      Pages 379-410

      Maximizing the Value of Student Ratings Through Data Mining

    4. No Access

      Chapter

      Pages 411-439

      Data Mining and Social Network Analysis in the Educational Field: An Application for Non-Expert Users

    5. No Access

      Chapter

      Pages 441-466

      Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective

  6. Back Matter

    Pages 467-468