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Analysing student feedback in higher education : using text-mining to interpret the student voice / edited by Elena Zaitseva, Beatrice Tucker, and Elizabeth Santhanam

Contributor(s): Material type: TextTextPublisher: London : Routledge, 2022Description: xv, 221 pagesContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367687229
Subject(s): DDC classification:
  • 378.166
Contents:
1. Discovering student experience : beyond numbers through words
Part I. Exploring collective student voice : approaches, tools and institutional insights
2. Automating insights : analysing the national student survey data using NVivo
3. You articulate, we implement ; adding constructive feedback coaching and automated text analysis in the course evaluation loop
4. Using structural topic modelling to estimate gender bias in student evaluations of teaching
Part II. Listening to diversity of student voices
5. Guiding institutional analysis of diversity with coded comments
6. Can you hear me now? Unmuting diverse student voices in Irish higher education
7. One voice? Investigating diversity in written student feedback
Part III. Looking across the student journey
8. Can text analytics improve prospective student engagement?
9. Mining employability narratives : from semantic analysis to institutional strategy
10. Accessing the student voice : Australia's CEQuery project
Part IV. Informing actionable insights and ethical approaches to decision-making
11. From anonymous student feedback to impactful strategies for institutional direction
12. Supporting practical use and understanding of student evaluations of teaching through text analytics design, policies, and practices
13. Freeing the free-text comment : exploring ethical text mining in the higher education sector
14. Future directions and challenges in text analytics
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Holdings
Item type Current library Collection Call number Status Barcode
Book Book Main Library Reference Section Reference R 378.166 An532 2022 (Browse shelf(Opens below)) Room use only 52806QC

Includes bibliographical references and index.

1. Discovering student experience : beyond numbers through words

Part I. Exploring collective student voice : approaches, tools and institutional insights

2. Automating insights : analysing the national student survey data using NVivo

3. You articulate, we implement ; adding constructive feedback coaching and automated text analysis in the course evaluation loop

4. Using structural topic modelling to estimate gender bias in student evaluations of teaching

Part II. Listening to diversity of student voices

5. Guiding institutional analysis of diversity with coded comments

6. Can you hear me now? Unmuting diverse student voices in Irish higher education

7. One voice? Investigating diversity in written student feedback

Part III. Looking across the student journey

8. Can text analytics improve prospective student engagement?

9. Mining employability narratives : from semantic analysis to institutional strategy

10. Accessing the student voice : Australia's CEQuery project

Part IV. Informing actionable insights and ethical approaches to decision-making

11. From anonymous student feedback to impactful strategies for institutional direction

12. Supporting practical use and understanding of student evaluations of teaching through text analytics design, policies, and practices

13. Freeing the free-text comment : exploring ethical text mining in the higher education sector

14. Future directions and challenges in text analytics

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