Analysing student feedback in higher education : using text-mining to interpret the student voice / edited by Elena Zaitseva, Beatrice Tucker, and Elizabeth Santhanam
Material type:
- text
- unmediated
- volume
- 9780367687229
- 378.166
Item type | Current library | Collection | Call number | Status | Barcode | |
---|---|---|---|---|---|---|
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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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