Learning Analytics Goes to School

Regular price €198.40
A01=Andrew Krumm
A01=Barbara Means
A01=Marie Bienkowski
Administrative Data Systems
Andrew Krumm
Author_Andrew Krumm
Author_Barbara Means
Author_Marie Bienkowski
Barbara Means
big data
Category=JN
Category=JNF
Category=JNM
Category=JNQ
Category=JNV
Change Ideas
collaborative research methods
data analysis for teacher professional development
Data Driven Decision
Data Intensive Analysis
Data Intensive Research
data mining
Data Steward
data-driven decision making
Design Based Implementation Research
Digital Learning Environment
Driver Diagrams
education research
Educational Data
educational data mining
Educational Data Scientists
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical use of student data
Fundamental Research
informal learning
Institutional Review Board
instructional improvement
k-12
Khan Academy
Learning Analytics for Educational Improvement
Marie Bienkowski
National Academy
Organization's IRB
Organization’s IRB
Phase Ii
postsecondary
Predict Program Completion
Reduced Price Lunch Eligibility
Research Practice Partnership
school improvement strategies
SLDSs
Student Information Systems
Test Change Ideas
Unsupervised Learning Algorithms

Product details

  • ISBN 9781138121829
  • Weight: 408g
  • Dimensions: 152 x 229mm
  • Publication Date: 31 Jan 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences—and the current state of the art in educational data mining and learning analytics more generally—by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.

Dr. Andrew Krumm is Director of Learning Analytics Research at Digital Promise, a nonprofit organization that brings together the expertise of educators, researchers, and technology developers in the interest of improving teaching and learning. Dr. Krumm has launched multiple research-practice partnerships and his research addresses the use of data-intensive research techniques to improve learning environments.

Dr. Barbara Means is Executive Director for Learning Sciences Research at Digital Promise. Formerly the founder and director of the Center for Technology in Learning at SRI International, Dr. Means is a nationally recognized expert in defining issues and approaches for evaluating the implementation and efficacy of technology-supported educational innovations.

Dr. Marie Bienkowski is Director of the Center for Technology in Learning at SRI International, a nonprofit research and development organization based in Silicon Valley that takes innovative ideas and technologies from the laboratory to the end-user and marketplace. Dr. Bienkowski is a computer scientist and education researcher leading efforts to improve student learning, effective teaching, and meaningful assessment.