Electronic Resource

Educational Data Mining: Applications and Trends

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000654	EB0003236	006.312 Edu	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.312 Edu

Publisher

Switzerland : Springer Cham., 2013

Collation

xviii, 468p.: Ill.

Language

English

ISBN/ISSN

978-3-319-02738-8

Classification

006.312

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Computer-assisted instruction
Education--Data Processing

Specific Detail Info

-

Statement of Responsibility

RTS

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