Data-driven education quality management
| Autor: | Anna G. Shmeleva, Galina P. Savinykh, Irina V. Polozhentseva, Nadezhda P. Kozlova, Vladimir G. Ponomarev |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Knowledge management
Point (typography) business.industry Educational quality media_common.quotation_subject Interpretation (philosophy) Control (management) Monitoring and evaluation Data-driven Comparative research ComputingMilieux_COMPUTERSANDEDUCATION Quality (business) business Psychology media_common |
| Zdroj: | LAPLAGE EM REVISTA. 7:509-518 |
| ISSN: | 2446-6220 |
| DOI: | 10.24115/s2446-622020217extra-a869p.509-518 |
| Popis: | A review of foreign and Russian research on the problems of assessing the quality of education at the institutional level is undertaken. Various aspects of the problem including the cross-country and sub-national contexts, the impact of international comparative research about in-school assessment, and teachers’ training in working with assessment data are compared. The effect of regional policies on the development of internal education quality evaluation systems in Russian schools is studied through analyzing official departmental websites. Expert evaluation method and the concordance coefficient are used to determine the key factors of the internal quality assessment system in general education institutions. The authors go beyond the control and inspection paradigm of education quality management and consider said systems from the point of the information-analytical paradigm. Data-driven management involves using data analysis and interpretation to predict students’ progress and motivational choice of educational profiles to design the content of electronic educational environments and individual educational trajectories. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|