Book Review: Handbook of Educational Data Mining
Updated: Dec 5, 2021
In this short article, I am going to review the Handbook of Educational Data Mining. It is one of the most amazing introductions to the Educational Data Mining field. The book is a collection of articles divided into two parts. The first section walks through data mining methods commonly used in Educational Data Mining (or EDM) field, and the second section is a collection of case studies that presents so many different dimensions and applications of EDM methods.
The first part of the book has a certain focus on outlining various algorithms or methods that are commonly used to analyze educational data. For example, data visualizations, clustering, bayesian models, process analysis, etc. The sequence of the chapters is also partly in chronological order in terms of the methods’ introduction into the education research domain. Here are the chapters in the first section of the book:
Visualization in Educational Environments
Basics of Statistical Analysis of Interactions Data from Web-Based Learning Environments
A Data Repository for the EDM Community: The PSLC DataShop
Classifiers for EDM
Clustering Educational Data
Association Rule Mining in Learning Management Systems
Sequential Pattern Analysis of Learning Logs: Methodology and Applications
Process Mining from Educational Data
Modeling Hierarchy and Dependence among Task Responses in EDM
This is a great introduction to the EDM field if you have not analyzed educational data before, but are aware of the statistical and computational methods of data mining. As more educators are using educational data every day, EDM methods are becoming more relevant. The explosion of online learning has also given a boost to the EDM field, as digital learning platforms collect vast amounts of learner data. We can use EDM on big educational data and get actionable insights that can directly impact student learning. Educational data also open rich possibilities for classroom technologies.
If you are interested in learning EDM, you should find a copy of this book. Also, if you are interested in knowing what's current in EDM, consider attending the 2021 Educational Data Mining Conference that is taking place virtually as well as in-person https://educationaldatamining.org/edm2021/
Have a great day.
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Thank you for this insightful review! The breakdown of various data mining methods and their applications in education is incredibly helpful for those new to the field. It’s also interesting to consider how tools that facilitate connections, like getflirty, can complement our understanding of data interactions. I look forward to exploring this book further and seeing how it can enhance educational practices.