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B01=Dragan Gaevi
B01=Kathryn Bartimote
B01=Sarah Howard
Category1=Non-Fiction
Category=JNV
Category=UBJ
Category=UN
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Theory Informing and Arising from Learning Analytics

English

The purpose of this book is to offer new vision on the role of theory in empirical research within the field of learning analytics. It serves as a reference book for new and established researchers seeking to engage in the green fields space of learning analytics. It also generates debate amongst long-standing members of the field in regards to epistemological positioning, and in particular challenges proponents of the pragmatic position that method should have primacy in research. An undercurrent running throughout the book is the assertion that with theory use comes the ability to explain what is observed in our empirical work, and in particular the patterns and counter-patterns seen in much learning analytics work.


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Current price €149.95
Original price €162.99
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Age Group_Uncategorizedautomatic-updateB01=Dragan GaeviB01=Kathryn BartimoteB01=Sarah HowardCategory1=Non-FictionCategory=JNVCategory=UBJCategory=UNCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 31 Aug 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 31 Aug 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031605703

About

Kathryn Bartimote is Senior Lecturer in the School of Education and Social Work at The University of Sydney. Kath is Research Committee Chair for the Centre for Educational Measurement and Assessment (CEMA) and chair/deputy chair for two of the Universitys human research ethics committees. She is a member of the Executive of the Society for Learning Analytics Research (SoLAR). Kaths research focuses on the topics of motivation and choice epistemic beliefs student success and theory in learning analytics.Sarah Howard is Associate Professor in the School of Education at the University of Wollongong where is the Head of Research. Sarah is also Group Lead for the Smarter Schools and Digital Technologies group within the SMART Infrastructure Facility at the University. Her research focuses on the use of new technologies and data science to explore classroom practice and teacher change related to technological innovation and integration. Specifically in her work Sarah looks at cultural and individual factors of teachers digital technology use change process and learning design related to subject areas school culture and underlying principles of teaching and learning.Dragan Gaevi is Distinguished Professor of Learning Analytics in the Faculty of Information Technology and Director of the Centre for Learning Analytics at Monash University. He is a founder of the Society for Learning Analytics Research (SoLAR) and served as the President 2015-2017. His research interests in learning analytics centre around the development of computational and design methods that can advance understanding of self-regulated and collaborative learning

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