{"title":"Performance data governance and management of learning and teaching in higher education: the SQELT project","authors":"T. Leiber","doi":"10.1080/13538322.2021.1951438","DOIUrl":null,"url":null,"abstract":"This special issue of Quality in Higher Education is dedicated to the theme of Performance Data Governance and Management (PDGM) of Learning and Teaching in Higher Education. The seven articles deal with the achievements, success and desiderata of PDGM at six European universities from Austria, Belgium, Italy, Poland, Portugal and the United Kingdom and beyond. The articles arose from work done in the Erasmus+ project SQELT (Sustainable Quality Enhancement in Higher Education Learning and Teaching) that gathered ten institutional partners from nine European countries in a Strategic Partnership (SQELT, 2020). More specifically, the authors of the special issue came from eight European universities, an evaluation and quality assurance agency and a policy research centre. The SQELT project investigated PDGM in learning and teaching of higher education including its policy and core elements, for example a PDGM policy, an ethical code of practice for data analytics and a comprehensive performance indicator set. These and further relevant elements are not per se completely novel. However, at many higher education organisational places they are still often not fully known or only present in rudimentary ways related to pronounced island approaches in PDGM, which are not exactly a proof of systematic organisational effectivity and efficiency. Therefore, it was the intention of the SQELT project to produce, as far as possible with such limited resources, a systematic and integrated approach to PDGM matters that should support the universities of the partnership as well as any other interested university to improve their PDGM systems. In the light of notorious success factors of quality management and evidence-informed organisational development in higher education institutions (Leiber, 2019b, 332ff.), benchlearning and strategic SWOT analyses related to the SQELT university project partners’ actual PDGM approaches exhibited the need of several initiatives of evidence-informed organisational development to further develop, improve and refine their PDGM models. Particularly, the sample PDGM models showed the following four main organisational transformation needs. First, procedures of data processing and communication, software platforms and responsible bodies for collecting and interpreting performance indicators must be further developed to improve quality as well as usability and","PeriodicalId":46354,"journal":{"name":"Quality in Higher Education","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality in Higher Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13538322.2021.1951438","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: 1
Abstract
This special issue of Quality in Higher Education is dedicated to the theme of Performance Data Governance and Management (PDGM) of Learning and Teaching in Higher Education. The seven articles deal with the achievements, success and desiderata of PDGM at six European universities from Austria, Belgium, Italy, Poland, Portugal and the United Kingdom and beyond. The articles arose from work done in the Erasmus+ project SQELT (Sustainable Quality Enhancement in Higher Education Learning and Teaching) that gathered ten institutional partners from nine European countries in a Strategic Partnership (SQELT, 2020). More specifically, the authors of the special issue came from eight European universities, an evaluation and quality assurance agency and a policy research centre. The SQELT project investigated PDGM in learning and teaching of higher education including its policy and core elements, for example a PDGM policy, an ethical code of practice for data analytics and a comprehensive performance indicator set. These and further relevant elements are not per se completely novel. However, at many higher education organisational places they are still often not fully known or only present in rudimentary ways related to pronounced island approaches in PDGM, which are not exactly a proof of systematic organisational effectivity and efficiency. Therefore, it was the intention of the SQELT project to produce, as far as possible with such limited resources, a systematic and integrated approach to PDGM matters that should support the universities of the partnership as well as any other interested university to improve their PDGM systems. In the light of notorious success factors of quality management and evidence-informed organisational development in higher education institutions (Leiber, 2019b, 332ff.), benchlearning and strategic SWOT analyses related to the SQELT university project partners’ actual PDGM approaches exhibited the need of several initiatives of evidence-informed organisational development to further develop, improve and refine their PDGM models. Particularly, the sample PDGM models showed the following four main organisational transformation needs. First, procedures of data processing and communication, software platforms and responsible bodies for collecting and interpreting performance indicators must be further developed to improve quality as well as usability and
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.