Analysing Student Feedback in Higher Education

Using Text-Mining to Interpret the Student Voice

Inbunden, Engelska, 2021

2 343 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-12-30
Mått:156 x 234 x 18 mm
Vikt:720 g
Format:Inbunden
Språk:Engelska
Antal sidor:222
Förlag:Taylor & Francis Ltd
ISBN:9780367678388

Utforska kategorier

Mer om författaren

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.

Innehållsförteckning

Preface1. Discovering student experience: beyond numbers through wordsElena Zaitseva, Elizabeth Santhanam and Beatrice TuckerPart I. Exploring collective student voice: approaches, tools and institutional insights2. Automating insights: Analysing the National Student Survey data using NVivoSteve Wright3. You articulate, we implement – adding constructive feedback coaching and automated text analysis in the course evaluation loop Yao WU and Graham Dawson4. Using Structural Topic Modelling to Estimate Gender Bias in Student Evaluations of TeachingMarshall A. Taylor, Ya Su, Kevin Barry and Sarah A. MustilloPart II. Listening to diversity of student voices5. Guiding institutional analysis of diversity with coded commentsJason Leman6. Can you hear me now? Unmuting diverse student voices in Irish higher educationAngela Short7. One voice? Investigating diversity in written student feedbackNatalie Holland and Elena ZaitsevaPart III. Looking across the student journey8. Can text analytics improve prospective student engagement? Robert Downie and Michel Rivard9. Mining Employability Narratives – from Semantic Analysis to Institutional StrategyElena Zaitseva and Chris Finn10. Accessing the student voice: Australia’s CEQuery projectGeoff ScottPart IV. Informing actionable insights and ethical approaches to decision making11. From anonymous student feedback to impactful strategies for institutional directionElizabeth Santhanam, Bernardine Lynch, Jeffrey Jones and Justin Davis12. Supporting practical use and understanding of student evaluations of teaching through text analytics design, policies, and practicesGregory Hum, Brad Wuetherick and Yeona Jang13. Freeing the free-text comment: exploring ethical text mining in the higher education sectorJill R D MacKay14. Future directions and challenges in text analyticsBeatrice Tucker, Elizabeth Santhanam and Elena Zaitseva