Big Data and Learning Analytics in Higher Education: Current Theory and Practice (Record no. 49508)

MARC details
000 -LEADER
fixed length control field 01134 a2200181 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250212102041.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319065199
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 371.33 KEI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kei Daniel, Ben
245 ## - TITLE STATEMENT
Title Big Data and Learning Analytics in Higher Education: Current Theory and Practice
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2017
Place of publication, distribution, etc Cham
300 ## - PHYSICAL DESCRIPTION
Extent 272
520 ## - SUMMARY, ETC.
Summary, etc This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Educational technology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Instruction.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.