Studies in Computational Intelligence

Educational Data Mining

Applications and Trends

Editors: Peña-Ayala, Alejandro (Ed.)

  • Provides an updated view of the application of Data Mining to the educational arena
  • Copes two key targets: applications and trends
  • Focuses on the Data Mining logistics: models, tasks, methods, algorithms
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eBook $139.00
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valid through November 5, 2017
  • ISBN 978-3-319-02738-8
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Hardcover $179.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-319-02737-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
valid through November 5, 2017
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 7, 2016
  • ISBN 978-3-319-34499-7
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
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About this book

This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows:

·     Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education.

·     Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academic success; 5) detect student's personality and behaviors in an educational game; 6) predict students performance to adjust content and strategies; 7) identify students who will most benefit from tutor support; 8) hypothesize the student answer correctness based on eye metrics and mouse click.

·     Assessment: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize students activities and visualize these activities for being presented to teachers; 12) find the most dependent test items in students response data.

·     Trends: The fourth part encompasses four chapters about how to: 13) mine text for assessing students productions and supporting teachers; 14) scan student comments by statistical and text mining techniques; 15) sketch a social network analysis (SNA) to discover student behavior profiles and depict models about their collaboration; 16) evaluate the structure of interactions between the students in social networks.

This volume will be a source of interest to researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and find targets for future work in the field of educational data mining.

Reviews

From the book reviews:

“This book delivers on its promise to bring together the essence of educational data mining, both in terms of principle and practice. It deserves a place on the reading shelf of any researcher interested in advancing educational goals using advanced techniques and methodologies.” (Computing Reviews, July, 2014)


Table of contents (16 chapters)

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

    Bousbia, Nabila (et al.)

    Pages 3-28

  • A Survey on Pre-Processing Educational Data

    Romero, Cristóbal (et al.)

    Pages 29-64

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

    Peña-Ayala, Alejandro (et al.)

    Pages 65-101

  • Modeling Student Performance in Higher Education Using Data Mining

    Guruler, Huseyin (et al.)

    Pages 105-124

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

    Keshtkar, Fazel (et al.)

    Pages 125-150

Buy this book

eBook $139.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-3-319-02738-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-319-02737-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
valid through November 5, 2017
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 7, 2016
  • ISBN 978-3-319-34499-7
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Educational Data Mining
Book Subtitle
Applications and Trends
Editors
  • Alejandro Peña-Ayala
Series Title
Studies in Computational Intelligence
Series Volume
524
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-02738-8
DOI
10.1007/978-3-319-02738-8
Hardcover ISBN
978-3-319-02737-1
Softcover ISBN
978-3-319-34499-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVIII, 468
Number of Illustrations and Tables
139 b/w illustrations
Topics