Analysing student feedback in higher education. Using text-mining to interpret the student voice.

Sonst. Personen	Zaĭt︠s︡eva, Elena (Hrsg.)
Titel	Analysing student feedback in higher education. Using text-mining to interpret the student voice.
Quelle	New York: Routledge (2022)Verfügbarkeit
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
ISBN	9780367678388 (gebundene Ausgabe); 9780367687229 (Taschenbuch); 9781003138785 (E-Book)
Schlagwörter	Student evaluation of curriculum; Data processing; Student evaluation of teachers; Data mining; Education, Higher; Research; Bildungseinrichtung; Europa + Suchen Sie Ihr Suchwort? Student; Students; Evaluation; Curriculum; Curriculum evaluation; Schüler; Schülerin; Studentin; Evaluierung; Lehrplan; Rahmenplan; Curriculumevaluation; Datenverarbeitung; Teacher; Teachers; Lehrer; Lehrerin; Lehrende; Datamining; Higher education; Hochschule; Fachhochschule; Universität; Forschung
Abstract	Discovering student experience: Beyond numbers through words -- Part 1. Exploring Collective Student Voice: Approaches, Tools and Institutional Insights -- Part 2. Listening to Diversity of Student Voices -- Part 3. Looking Across the Student Journey -- Part 4. Informing Actionable Insights and Ethical Approaches to Decision Making. "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 - within their institutions 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"--Provided by publisher.
Erfasst von	Library of Congress, Washington, DC
Update	2022/1/02