Data-driven analysis for evidence-based decision making at universities: benchmarking, software tools and weighted indicators in quality assurance – analytical framework of Tbilisi State University
George Sharvashidze, I. Grdzelidze, D. Sikharulidze, T. Gabrichidze
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引用次数: 0
Abstract
Abstract Arrival of managerialism, call for accountability, efficiency and effectiveness marked a new era in higher education. With the growing demand for evidence-based and data-driven analysis of higher education institutions’ performance from internal and external stakeholders, universities are looking for ways to successfully implement performance indicator and benchmarks in management and quality assurance. Quality assurance is becoming more evidence-based, outcome-driven and focused on effectiveness. The article presents an analytical framework developed at Tbilisi State University that is based on indicators, software tool and metrics, intended to meet individual needs of the institution. The article adds to the debate about using indicators as the tool for evaluating university performance at different levels. Although many fear that it can lead to oversimplified quantitative evaluation, the article argues that indicators, best reflecting what should be measured, and how, can serve as the basis for the continuous quality enhancement at the university.
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.