Data mining and learning analytics : (Record no. 30571)

MARC details
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control field 19046103
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190707233410.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160407s2016 njua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2016016549
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118998236 (hbk)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency
Description conventions rda
Modifying agency Holy Name University.
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number LB1028.43
Item number .D385 2016
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 370.727/D26
084 ## - OTHER CLASSIFICATION NUMBER
Classification number CAS
085 00 - SYNTHESIZED CLASSIFICATION NUMBER COMPONENTS
Number where instructions are found-single number or beginning number of span CAS 370.727/D26
-- 23
245 00 - TITLE STATEMENT
Title Data mining and learning analytics :
Remainder of title applications in educational research /
Statement of responsibility, etc. edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey, USA :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons, Inc.,
Date of production, publication, distribution, manufacture, or copyright notice ©2016.
300 ## - PHYSICAL DESCRIPTION
Extent xxviii, 283 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text.
Content type code text.
490 0# - SERIES STATEMENT
Series statement Wiley Series on Methods and Applications in Data Mining
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. "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."--Publisher's description.
520 ## - SUMMARY, ETC.
Summary, etc. 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 practical implementation of data mining (DM) within educational mandates.
546 ## - LANGUAGE NOTE
Language note In English.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Research
-- Statistical methods.
9 (RLIN) 15041
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Educational statistics
General subdivision Data processing.
9 (RLIN) 15042
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 4384
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Learning analytics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name ElAtia, Samira,
Dates associated with a name 1973-
Relator term editor.
9 (RLIN) 15043
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ipperciel, Donald,
Dates associated with a name 1967-
Relator term editor.
9 (RLIN) 15044
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaïane, Osmar,
Relator term editor.
9 (RLIN) 15045
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books

No items available.