Data mining and learning analytics : (Record no. 30571)
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001 - CONTROL NUMBER | |
control field | 19046103 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20190707233410.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | ta |
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 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
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b | cbc |
c | orignew |
d | 1 |
e | ecip |
f | 20 |
g | y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
No items available.