Data mining and learning analytics: applications in educational research
by ElAtia, Samira Ipperciel, Donald Zaiane, Osmar R.
« This 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 applicat…
Read More ↓Title Statements
- Full title :Data mining and learning analytics : applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane.
Summary
« This 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. »--
Read More ↓Edition Statements
- Publication Date:2016
Publication Statements
- Publisher(s):John Wiley & Sons, Inc
- Place of Publication:Hoboken, New Jersey
- Language:eng
- Publication Date:2016
The Physical Object
- Description:1 ressource en ligne (1 ressource électronique (xxviii, 283 pages) :) : illustrations en couleur.
Edition Identifiers
- ISBN:9781118998212, 1118998219, 9781118998205, 1118998200
- oclc:on1101056159
- LC Classification:LB1028.43
- Dewey Decimal:370.72/7
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