My Account Log in

1 option

Big Data in Education : The Digital Future of Learning, Policy and Practice / Ben Williamson.

LIBRA LB1028.3 .W55 2017
Loading location information...

Available from offsite location This item is stored in our repository but can be checked out.

Log in to request item
Format:
Book
Author/Creator:
Williamson, Ben (Educator), author.
Language:
English
Subjects (All):
Big data.
Educational technology.
Physical Description:
xvi, 236 pages ; 25 cm
Place of Publication:
London : SAGE Publications, 2017.
Language Note:
Text in English.
Summary:
Big data has the power to transform education and educational research. Governments, researchers, and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research.This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future.
Contents:
1 Introduction 1
Learning machines, digital data and the future of education
2 Conceptualizing Digital Data 25
Data mining, analytics and imaginaries
3 Software, Code and Algorithms 49
Programming, automating and governing everyday life
4 Digital Education Governance 65
Political analytics, performativity and accountability
5 The Social Life of Education Data Science 97
Learning analytics, educational data mining and metrological platforms
6 The CompPsy Complex 123
Non-cognitive learning, psychological enhancement and behaviour change
7 Rewiring Brains 149
Artificial intelligence, cognitive systems and neuroeducation
8 Making and Coding Cultures 175
Digital citizens, DIY makers and apprentice data analysts
9 Conclusion 195
Programmable public pedagogies of software and big data.
Notes:
Includes bibliographical references and index.
ISBN:
1473948002
9781473948006
1473947995
9781473947993
OCLC:
972232064

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account