Learning Analytics in the Classroom

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Abelardo Pardo
Adon Christian Michael Moskal
Amael Arguel
Bart Rienties
Blended Learning Environment
Carlos G. Prieto-Alvarez
Category=JNA
Category=JNC
Category=JNDH
Cathy Gunn
Claire Donald
Class
classroom data interpretation
Classroom translation
Co-design Process
Dan Cloney
Danny Y. T. Liu
Data Analytics
data-driven teaching practice
David Heath
Deborah Richards
Deborah West
Digital Learning Environments
digital pedagogy strategies
Distributive Leadership
Dragan Gasevic
ECEC Program
educational data mining
epistemic emotion analysis
Epistemic Emotions
eq_bestseller
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Ernesto Panadero
Evolutionary Educational Psychology
FC Design
FC Model
Gregory M. Donoghue
Henk Huijser
Hilary Hollingsworth
instructional design analytics
Jaclyn Broadbent
Jared Cooney Horvath
Jason M. Lodge
Jason M. Stephens
Jelena Jovanovic
Jenny McDonald
Kate Thompson
Kathryn Bartimote
LA
LA Data
LA System
Learning Analytics
Learning Analytics Research
Learning Analytics Tools
Learning and instruction
Learning Design Practice
Learning Designs
Linda Corrin
Lisette Toetenel
Lori Lockyer
Marion Blumenstein
Mariya Pachman
Negin Mirriahi
Open Source
Open Source Code
Open University UK
Paula G. de Barba
Pedagogy
Peter Reimann
Prescriptive Translation
Professional Development
Roberto Martinez-Maldonado
Sakinah S. J. Alhadad
Sarah Howard
Self-regulated learning
Shane Dawson
Simon Buckingham Shum
Simon Knight
SRL
Steve Leichtweis
student engagement metrics
Students Engage
Theresa Dirndorfer Anderson
Tom Olney
Trace Data

Product details

  • ISBN 9780815362111
  • Weight: 712g
  • Dimensions: 174 x 246mm
  • Publication Date: 02 Oct 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains. Highlighting the real potential of learning analytics as a way to better understand and enhance student learning and with each chapter including specific discussion about what the research means in the classroom, this book provides educators and researchers alike with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice.

This volume is split into five sections, all of which relate to the key themes in understanding learning analytics through the lens of the classroom:

  • broad theoretical perspectives
  • understanding learning through analytics
  • the relationship between learning design and learning analytics
  • analytics in the classroom and the impact it can and will have on education
  • implementing analytics and the challenges involved.

Bridging the gap between research, theory and practice, Learning Analytics in the Classroom is both a practical tool and an instructive guide for educators, and a valuable addition to researchers' bookshelves. A team of world-leading researchers and expert editors have compiled a state-of-the-art compendium on this fascinating subject and this will be a critical resource for the evolution of this field into the future.

Jason M. Lodge is Associate Professor of Educational Psychology in the School of Education and Institute for Teaching and Learning Innovation at the University of Queensland, Australia. He is affiliated with the National Australian Research Council funded Science of Learning Research Centre. Jason’s research focusses on the cognitive and emotional aspects of learning, particularly in digital learning environments.

Jared Cooney Horvath is a research fellow at St Vincent's Hospital in Melbourne and the co-founder of the Science of Learning Group – a team dedicated to bringing the latest in educationally relevant brain and behavioural research to students and educators at all levels. Currently he teaches at the University of Melbourne, prior to this he spent a number of years working as a teacher and curriculum developer for several institutions around Los Angeles, Seattle and Boston.

Linda Corrin is Senior Lecturer in Higher Education in the Williams Centre for Learning Advancement in the Faculty of Business and Economics, University of Melbourne. Linda's research interests include students' engagement with technology, learning analytics, feedback and learning design. Currently, she is working on several large research projects exploring how learning analytics can be used to provide meaningful and timely feedback to academics and students. Linda is co-founder of the Victorian and Tasmanian Learning Analytics Network.