TY  - BOOK
AU  - Zait︠s︡eva,Elena
AU  - Tucker,Beatrice
AU  - Santhanam,Elizabeth
TI  - Analysing student feedback in higher education: : using text-mining to interpret the student voice
SN  - 9780367687229
U1  - 378.166 
PY  - 2022///
CY  - London
PB  - Routledge
KW  - Student evaluation of curriculum
KW  - Data processing
KW  - Student evaluation of teachers
KW  - Education, Higher
KW  - Research
N1  - 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
ER  -