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Data mining and learning analytics : applications in educational research

Author: Samira ElAtia; Donald Ipperciel; Osmar Zaïane
Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2016]
Series: Wiley series on methods and applications in data mining.
Edition/Format:   Print book : EnglishView all editions and formats
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  Read more...
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Document Type: Book
All Authors / Contributors: Samira ElAtia; Donald Ipperciel; Osmar Zaïane
ISBN: 9781118998236 1118998235
OCLC Number: 952199814
Description: xxviii, 283 pages : illustrations ; 24 cm.
Contents: Part I. At the intersection of two fields: EDM --
Educational process mining: A tutorial and case study using Moodle data sets / Christóbal Romero, Rebeca Cerezo, Alejandro Bogarín, and MIguel Sánchez-Santillán --
On big data and text mining in the humanities / Geoffrey Rockwell and Bettina Berendt --
Finding predictor in higher education / David Eubanks, William Evers Jr., and Nancy Smith --
Educational data mining: A MOOC experience / Ryan S. Baker, Yuan Wang, Luc Paquette, Vincent Aleven, Octav Popsecu, Jonathan Sewall, Carolyn Rosé, Gaurav Singh Tomar, Oliver Ferschke, Jing Zhang, Michael J. Cennamo, Stephanie Ogden, Therese Condit, José Diaz, Scott Crossley, Danielle S. McNamara, Denise K. Comer, Collin F. Lynch, Rebecca Brown, Tiffany Barnes, and Yoav Bergner --
Data mining and action research / Ellina Chernobilsky, Edith Ries, and Joanna Jasmine --
Part II. Pedagogical applications of EDM --
Design of an adaptive learning system and educational data mining / Zhiyong Liu and NIck Cercone --
The "Geometry" of naïve Bayes: Teaching probabilities by "drawing" them / Giorgio Maria Di Nunzio --
Examining the learning networks of a MOOC / Meaghan Brugha and Jean-Paul Restoule --
Exploring the usefulness of adaptive elearning laboratory environments in teaching medical science / Thuan Thai and Patsie Polly --
Investigating co-occurence patterns of learners' grammatical errors across proficiency levels and essay topics based on association analysis / Yutaka Ishii --
Part III. EDM and educational research --
Mining learning sequences in MOOCs: Does course design constrain students' behaviors or do students shape their own learning? / Lorenzo Vigentini, Simon McIntyre, Negin Mirriahi, and Dennis Alonzo --
Understanding communication patterns in MOOCs: Combining data mining and qualitative methods / Rebecca Eynon, Isis Hjorth, Taha Yasseri, and Nabeel Gillani --
An example of data mining: Exploring the relationship between applicant attributes and academic measures of success in a pharmacy program / Dion Brocks and Ken Cor --
A new way of seeing: Using a data mining approach to understand children's views of diversity and "difference" in picture books / Robin A. Moeller and Hsin-liang Chen --
Data mining with natural language processing and corpus linguistics: Unlocking access to school children's language in diverse contexts to improve instructional and assessment practices / Alison L. Bailey, Anne Blackstock-Bernstein, Eve Ryan, and Despina Pitsoulakis.
Series Title: Wiley series on methods and applications in data mining.
Responsibility: edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane.

Abstract:

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and  Read more...

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