Educational data mining applications (39 résultats)
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Data Mining and Learning Analytics : Applications in Educational Research
Elatia, Samira (EDT); Ipperciel, Donald (EDT); Zaiane, Osmar R. (EDT)
Langue : anglais
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Data Mining and Learning Analytics : Applications in Educational Research
Elatia, Samira (EDT); Ipperciel, Donald (EDT); Zaiane, Osmar R. (EDT)
Langue : anglais
Edité par Wiley 2016
Série : Wiley Series on Methods and Applications in Data Mining, Livre 5 sur 7. Livre 5 sur 7 - Wiley Series on Methods and Applications in Data Mining
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Data Mining and Learning Analytics : Applications in Educational Research
Elatia, Samira (EDT); Ipperciel, Donald (EDT); Zaiane, Osmar R. (EDT)
Langue : anglais
Edité par Wiley 2016
Série : Wiley Series on Methods and Applications in Data Mining, Livre 5 sur 7. Livre 5 sur 7 - Wiley Series on Methods and Applications in Data Mining
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Taschenbuch. Etat : Neu. Modern Approach to Educational Data Mining and Its Applications | Soni Sweta | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xxvii | Englisch | 2021 | Springer | EAN 9789813346802 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[d…ot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue : anglais
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, em…otion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life's problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (EDM). Enabling personalized systems is meant for improvement in learning experience for learners as per their choices made or auto-detected needs. It helps in enhancing their performance in terms of knowledge, skills, aptitudes and preferences. It also enables speeding up the learning process qualitatively and quantitatively. These objectives are met only by the Personalized Adaptive E-learning Systems in this regard. Many noble frameworks were conceptualized, designed and developed to infer learning style preferences, and accordingly, learning materials were delivered adaptively to the learners. Designing frameworks help to measure learners' preferences minutely and provide adaptive learning materials to them in a way most appropriately.
Langue : anglais
Edité par 2016-01-01 2016
Série : Wiley Series on Methods and Applications in Data Mining, Livre 5 sur 7. Livre 5 sur 7 - Wiley Series on Methods and Applications in Data Mining
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Data Mining and Learning Analytics : Applications in Educational Research
Elatia, Samira (EDT); Ipperciel, Donald (EDT); Zaiane, Osmar R. (EDT)
Langue : anglais
Edité par Wiley 2016
Série : Wiley Series on Methods and Applications in Data Mining, Livre 5 sur 7. Livre 5 sur 7 - Wiley Series on Methods and Applications in Data Mining
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Langue : anglais
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Etat : New. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 450 pages. BIC Classification: GPS; JN; UNF. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2016. 1st Edition. Hardcover. . . . .
Langue : anglais
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Etat : New. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 450 pages. BIC Classification: GPS; JN; UNF. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Langue : anglais
Edité par Wiley Sep 2016 2016
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Buch. Etat : Neu. Neuware - Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learningThis book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a…general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles-- prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to advance educational research--from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields.\* Includes case studies where data mining techniques have been effectively applied to advance teaching and learning\* Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students\* Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students\* Features supplementary resources including a primer on foundational aspects of educational mining and learning analyticsData Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.
Langue : anglais
Edité par Springer 2016
Série : Studies in Computational Intelligence, Livre 61 sur 538. Livre 61 sur 538 - Studies in Computational Intelligence
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Taschenbuch. Etat : 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.
Langue : anglais
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Buch. Etat : Neu. Data Mining and Learning Analytics | Applications in Educational Research | Donald Ipperciel (u. a.) | Buch | Wiley Series on Methods and Applications in Data Mining | NOTES ON CONTRIBUTORS xiINTRODUCTION: EDUCATION AT COMPUTATIONAL CROSSROADS xxiiiSamira ElAtia | Englisch | 2016 | John Wiley & Sons | EAN 97811…18998236 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Langue : anglais
Edité par Springer International Publishing 2016
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Taschenbuch. Etat : 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 accept…ed 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.
Langue : anglais
Edité par Springer, Springer 2013
Série : Studies in Computational Intelligence, Livre 61 sur 538. Livre 61 sur 538 - Studies in Computational Intelligence
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : 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 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.
Langue : anglais
Edité par Springer 2013
Série : Studies in Computational Intelligence, Livre 61 sur 538. Livre 61 sur 538 - Studies in Computational Intelligence
- Couverture rigide
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Langue : anglais
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Edité par Springer Nature Singapore Jan 2021 2021
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, kno…wledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life's problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (EDM). Enabling personalized systems is meant for improvement in learning experience for learners as per their choices made or auto-detected needs. It helps in enhancing their performance in terms of knowledge, skills, aptitudes and preferences. It also enables speeding up the learning process qualitatively and quantitatively. These objectives are met only by the Personalized Adaptive E-learning Systems in this regard. Many noble frameworks were conceptualized, designed and developed to infer learning style preferences, and accordingly, learning materials were delivered adaptively to the learners. Designing frameworks help to measure learners' preferences minutely and provide adaptive learning materials to them in a way most appropriately. 124 pp. Englisch.
