9783319344997 - educational data mining: applications and trends: 524 (12 risultati)
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Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Educational Data Mining | Applications and Trends | Alejandro Peña-Ayala | Taschenbuch | xviii | Englisch | 2016 | Springer | EAN 9783319344997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer International Publishing, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 a…ccepted 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 knowledgeand find targets for future work in the field of educational data mining.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Brand New. reprint edition. 488 pages. 9.25x6.10x1.10 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
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Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Condizione: new. Questo è un articolo print on demand.
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Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer International Publishing Aug 2016, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 ma…nuscripts 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. 488 pp. Englisch.
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Lingua: Inglese
Editore: Springer International Publishing, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, algorithmsThis book is…devoted to th.
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Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2016, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 manusc…ripts 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 knowledgeand find targets for future work in the field of educational data mining.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Condizione: New. Print on Demand pp. 486.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 61 di 538 - Studies in Computational Intelligence
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Condizione: New. PRINT ON DEMAND pp. 486.
