Analysing Student Feedback in Higher Education
Language: English
Published by Routledge, 2021
- Hardcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
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In English.
Seller Inventory # ria9780367678388_new
- Title
- Analysing Student Feedback in Higher Education
- Publisher
- Routledge
- Publication year
- 2021
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0367678381
- ISBN 13
- 9780367678388
- Item weight
- 840 grams
Analysing Student Feedback in Higher Education provides an in-depth analysis of ‘mining’ student feedback that goes beyond numerical measures of student satisfaction or engagement. By including authentic student voices for understanding the student experience, this book will inform strategies for quality improvement in higher education globally.
With contributions, representing an international community of academics, educational developers, institutional data analysts and student-researchers, this book reflects on the role of computer-aided text analysis in gaining insight of student views. The chapters explore the applications of text-mining in different forms, these include varied institutional contexts, using a range of instruments and pursuing different institutional aims and objectives. Contributors provide insights enabled by computer-aided analysis in distilling the student voice and turning large volumes of data into useful information and knowledge to inform actions. Practical tips and core principles are explored to assist academic institutions when embarking on analysing qualitative student feedback.
Written for a wide audience, Analysing Student Feedback in Higher Education provides those making informed decisions about how to approach analyses of large volumes of student narratives, with the benefit of learning from the experiences of those who already started treading this path. It enables academic developers, institutional researchers, academics, and administrators to see how bringing text mining to their institutions can help them in better understanding and using the student voice to improve practice.
"Synopsis" may belong to another edition of this title.
About the Author
Elena Zaitseva is the Academic Research and Development Officer at the Teaching and Learning Academy, Liverpool John Moores University, UK.
Beatrice Tucker is the Evaluation Lead for the School of Medicine, University of Western Australia.
Elizabeth Santhanam is an Associate Professor and Evaluation Coordinator in the Learning and Teaching Centre, Australian Catholic University.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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