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03439aam a22003858i 4500 001 53A679F0B4A811ECBDCF981B5BECA4DB 003 SILO 005 20220405011336 008 211116t20222022nyu b 001 0 eng 010 $a 2021037470 020 $a 0367678381 020 $a 9780367678388 020 $a 0367687224 020 $a 9780367687229 035 $a (OCoLC)1298715105 040 $a DLC $b eng $e rda $c DLC $d SILO 042 $a pcc 050 00 $a LF4232 C8 A53 2022 245 00 $a Analysing student feedback in higher education : $b using text-mining to interpret the student voice / $c edited by Elena Zaitseva, Beatrice Tucker, and Elizabeth Santhanam. 263 $a 2202 264 1 $a New York : $b Routledge, $c 2022. 300 $a pages cm 520 $a "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"-- $c Provided by publisher. 504 $a Includes bibliographical references and index. 505 2 $a 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. 650 0 $a Student evaluation of curriculum $x Data processing. 650 0 $a Student evaluation of teachers $x Data processing. 650 0 $a Data mining. 650 0 $a Education, Higher $x Research. 700 1 $a ZaiÌtï¸ s︡eva, Elena, $e editor. 776 08 $i Online version: $t Analysing student feedback in higher education $d New York : Routledge, 2022 $z 9781003138785 $w (DLC) 2021037471 941 $a 1 952 $l USUX851 $d 20220602013528.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=53A679F0B4A811ECBDCF981B5BECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search