{"title":"An evolution of performance data in higher education governance: a path towards a ‘big data’ era?","authors":"Maarja Beerkens","doi":"10.1080/13538322.2021.1951451","DOIUrl":null,"url":null,"abstract":"ABSTRACT Performance data in higher education has gone through a major development in the last few decades. Simple input measures have given way to increasingly nuanced and dynamic output measures and performance indicators have become an integral part of management at the organisational and system level. The evolution of higher education performance measurement shows a reiterative relationship between data availability, its purpose in a governance system and its target audience. Digitalisation of learning, management and communication systems has revolutionised data availability, creating new possibilities for ‘big data’ use. Based on insights from the past evolution, current experiments with ‘big data’ and lessons from other sectors, the article explores what the new ‘big data’ era might mean for higher education governance. The high volume of data but also its speed of accumulation and related analytical techniques, are likely to substantially transform the current relationship between data and performance but also create some technical, ethical and policy challenges.","PeriodicalId":46354,"journal":{"name":"Quality in Higher Education","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality in Higher Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13538322.2021.1951451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 9
Abstract
ABSTRACT Performance data in higher education has gone through a major development in the last few decades. Simple input measures have given way to increasingly nuanced and dynamic output measures and performance indicators have become an integral part of management at the organisational and system level. The evolution of higher education performance measurement shows a reiterative relationship between data availability, its purpose in a governance system and its target audience. Digitalisation of learning, management and communication systems has revolutionised data availability, creating new possibilities for ‘big data’ use. Based on insights from the past evolution, current experiments with ‘big data’ and lessons from other sectors, the article explores what the new ‘big data’ era might mean for higher education governance. The high volume of data but also its speed of accumulation and related analytical techniques, are likely to substantially transform the current relationship between data and performance but also create some technical, ethical and policy challenges.
期刊介绍:
Quality in Higher Education is aimed at those interested in the theory, practice and policies relating to the control, management and improvement of quality in higher education. The journal is receptive to critical, phenomenological as well as positivistic studies. The journal would like to publish more studies that use hermeneutic, semiotic, ethnographic or dialectical research as well as the more traditional studies based on quantitative surveys and in-depth interviews and focus groups. Papers that have empirical research content are particularly welcome. The editor especially wishes to encourage papers on: reported research results, especially where these assess the impact of quality assurance systems, procedures and methodologies; theoretical analyses of quality and quality initiatives in higher education; comparative evaluation and international aspects of practice and policy with a view to identifying transportable methods, systems and good practice; quality assurance and standards monitoring of transnational higher education; the nature and impact and student feedback; improvements in learning and teaching that impact on quality and standards; links between quality assurance and employability; evaluations of the impact of quality procedures at national level, backed up by research evidence.