Analysing student feedback in higher education : using text-mining to interpret the student voice /: using text-mining to interpret the student voice. (2021)

• Record Type: Book
• Further Information: Note: Edited by Elena Zaitseva, Beatrice Tucker, Elizabeth Santhanam.
• Editors: Zaĭt︠s︡eva, Elena; Tucker, Beatrice; Santhanam, Elizabeth
• Contents: Preface; ; 1. Discovering student experience: beyond numbers through words; Elena Zaitseva, Elizabeth Santhanam and Beatrice Tucker Part I. Exploring collective student voice: approaches, tools and institutional insights 2. Automating insights: Analysing the National Student Survey data using NVivo; Steve Wright 3. You articulate, we implement – adding constructive feedback coaching and automated text analysis in the course evaluation loop; Yao WU and Graham Dawson 4. Using Structural Topic Modelling to Estimate Gender Bias in Student Evaluations of Teaching; Marshall A. Taylor, Ya Su, Kevin Barry and Sarah A. Mustillo Part II. Listening to diversity of student voices 5. Guiding institutional analysis of diversity with coded comments; Jason Leman 6. Can you hear me now? Unmuting diverse student voices in Irish higher education; Angela Short 7. One voice? Investigating diversity in written student feedback; Natalie Holland and Elena Zaitseva Part III. Looking across the student journey 8. Can text analytics improve prospective student engagement?; Robert Downie and Michel Rivard 9. Mining Employability Narratives – from Semantic Analysis to Institutional Strategy; Elena Zaitseva and Chris Finn 10. Accessing the student voice: Australia’s CEQuery project; Geoff Scott Part IV. Informing actionable insights and ethical approaches to decision making 11. From anonymous student feedback to impactful strategies for institutional direction; Elizabeth Santhanam, Bernardine Lynch, Jeffrey Jones and Justin Davis 12. Supporting practical use and understanding of student evaluations of teaching through text analytics design, policies, and practices; Gregory Hum, Brad Wuetherick and Yeona Jang 13. Freeing the free-text comment: exploring ethical text mining in the higher education sector; Jill R D MacKay 14. Future directions and challenges in text analytics; Beatrice Tucker, Elizabeth Santhanam and Elena Zaitseva
• Edition: 1st
• Publisher Details: London : Routledge
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 378.002856312; Student evaluation of curriculum -- Data processing; Student evaluation of teachers -- Data processing; Data mining; Education, Higher -- Research
• Languages: English
• ISBNs: 9781000526998; 9781000526974; 9781003138785
• Related ISBNs: 9780367678388; 9780367687229
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.