Analysing Student Feedback in Higher Education: Using Text-Mining to Interpret the Student Voice

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, this book informs strategies for quality improvement in higher education globally. Contributions from an international community of academics, educational developers, institutional data analysts, and student-researchers explore the applications of text-mining in various institutional contexts. Practical tips and core principles are provided to assist academic institutions in embarking on analyzing qualitative student feedback.

Format: Paperback / softback
Length: 222 pages
Publication date: 30 December 2021
Publisher: Taylor & Francis Ltd

An in-depth examination of "mining student feedback that goes beyond numerical measures of student satisfaction or engagement" is provided in the book Analyzing Student Feedback in Higher Education. By incorporating genuine student voices to comprehend the student experience, this book will enlighten tactics for enhancing the quality of higher education on a worldwide scale.

This book, which includes contributions from a diverse group of academics, educational developers, institutional data analysts, and student-researchers from around the world, examines the role of computer-aided text analysis in gaining insight into student views. The chapters explore the applications of text-mining in various forms, including diverse institutional contexts, using a variety of instruments, and pursuing different institutional aims and objectives. Contributors provide insights enabled by computer-aided analysis in distilling the student voice and transforming large volumes of data into valuable information and knowledge to inform actions. Practical tips and core principles are explored to assist academic institutions when embarking on analyzing qualitative student feedback.

Written for a wide audience, Analyzing 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 have already begun 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 utilizing the student voice to improve practice.

Weight: 306g
Dimension: 234 x 155 x 18 (mm)
ISBN-13: 9780367687229