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Analysing Student Feedback in Higher Education

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Assisted Qualitative Data Analysis Software
automated text coding
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B01=Beatrice Tucker
B01=Elena Zaitseva
B01=Elizabeth Santhanam
CAQDAS Package
Category1=Non-Fiction
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Category=JNKD
Category=JNM
Computer Assisted Qualitative Data Analysis
Contract Cheating
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Dalhousie University
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diversity in student responses
educational policy evaluation
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical qualitative data mining
Fanshawe College
Free Text Comment
higher education analytics
Independent Study
institutional data interpretation
Language_English
LDA
LDA Topic Modeling
Leximancer Analysis
Minority Ethnic
NSS Data
Open Science Framework
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Price_€20 to €50
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QDA Miner
qualitative feedback analysis
Set Data
softlaunch
Student Comments
Student Engagement
Student Voice Project
Teaching Enhancement Projects
Teaching Excellence Framework
Text Mining
UK Chapter
Unsupervised Machine Learning
Work Integrated Learning

Product details

  • ISBN 9780367687229
  • Weight: 372g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Description

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.
About

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.