Analysing Student Feedback in Higher Education

Více o knize

This book offers an in-depth analysis of student feedback that transcends mere numerical measures of satisfaction or engagement. By incorporating authentic student voices, it aims to enhance strategies for quality improvement in higher education worldwide. Contributions from a diverse international community of academics, educational developers, data analysts, and student-researchers reflect on the role of computer-aided text analysis in understanding student perspectives. The chapters examine various applications of text mining across different institutional contexts, utilizing a range of instruments to meet diverse objectives. Contributors share insights gained through computer-aided analysis, transforming large data volumes into actionable information to inform institutional practices. Practical tips and core principles are provided to guide academic institutions in analyzing qualitative student feedback effectively. Aimed at a broad audience, this work serves as a resource for those making informed decisions about analyzing extensive student narratives, drawing on the experiences of early adopters. It empowers academic developers, institutional researchers, and administrators to leverage text mining for a deeper understanding of the student voice, ultimately enhancing educational practices.