Re-imagining University Assessment in a Digital World

Author:   Margaret Bearman ,  Phillip Dawson ,  Rola Ajjawi ,  Joanna Tai
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   7
ISBN:  

9783030419585


Pages:   296
Publication Date:   14 July 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Re-imagining University Assessment in a Digital World


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Overview

This book is the first to explore the big question of how assessment can be refreshed and redesigned in an evolving digital landscape. There are many exciting possibilities for assessments that contribute dynamically to learning. However, the interface between assessment and technology is limited. Often, assessment designers do not take advantage of digital opportunities. Equally, digital innovators sometimes draw from models of higher education assessment that are no longer best practice. This gap in thinking presents an opportunity to consider how technology might best contribute to mainstream assessment practice. Internationally recognised experts provide a deep and unique consideration of assessment’s contribution to the technology-mediated higher education sector. The treatment of assessment is contemporary and spans notions of ‘assessment for learning’, measurement and the roles of peer and self within assessment. Likewise the view of educational technology is broad andincludes gaming, learning analytics and new media. The intersection of these two worlds provides opportunities, dilemmas and exemplars. This book serves as a reference for best practice and also guides future thinking about new ways of conceptualising, designing and implementing assessment. 

Full Product Details

Author:   Margaret Bearman ,  Phillip Dawson ,  Rola Ajjawi ,  Joanna Tai
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   7
Weight:   0.474kg
ISBN:  

9783030419585


ISBN 10:   3030419584
Pages:   296
Publication Date:   14 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Margaret Bearman is Professor within the Centre for Research in Assessment and Digital Learning, at Deakin University. Margaret’s research focusses on learning and teaching in higher and professional education. She is particularly interested in ways of improving feedback, the sociomateriality of standards, and what it means to be an online learner in a digital world.  Phillip Dawson is Associate Professor and Associate Director of the Centre for Research in Assessment and Digital Learning, at Deakin University. He holds degrees in education, artificial intelligence and cybersecurity. His research focuses on assessment and learning matters like feedback, rubrics and academic integrity, often with influences from computer science. Rola Ajjawi is Associate Professor in Educational Research at the Centre for Research in Assessment and Digital Learning, at Deakin University where she leads a program of research into learning and feedback in workplace settings. She is Deputy Editor of the journal Medical Education.  Joanna Tai is Senior Research Fellow at the Centre for Research in Assessment and Digital Learning, at Deakin University, in Melbourne, Australia. Her research interests include peer learning, self and peer assessment, evaluative judgement, student perspectives on learning and assessment, and research synthesis.  David Boud is Professor and Foundation Director of the Centre for Research in Assessment and Digital Learning, at Deakin University, Professor of Work and Learning at Middlesex University and Emeritus Professor at the University of Technology Sydney. He has been a pioneer in developing learning-centred approaches to assessment across the disciplines, particularly in student self-assessment, building assessment skills for long-term learning and new approaches to feedback.

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