EASNIE’s Quality Assurance, Monitoring and Accountability (QAMA) activity aims to identify the essential elements of a framework that brings all aspects of an education system together. Data collection and use have a critical role in this framework, as Dr Verity Donnelly explains in this video.
Key points include:
- The reasons for data collection, emphasising the need for good data on learner outcomes and barriers facing learners
- Countries’ data commitments under European and international agreements, as well as EASNIE’s own data collection efforts through its European Agency Statistics on Inclusive Education (EASIE) activity
- Monitoring and evaluation, highlighting the need for data on all learners
- The need for a strategic approach to data collection.
Dr Donnelly presents examples of data collection models at different levels and refers to UNESCO’s data quality checklist. The video concludes with examples of holistic data models that focus on learner assessment, teacher appraisal and stakeholder feedback.
To learn more, visit the QAMA activity web area.
For more information about the European Agency Statistics on Inclusive Education, visit the EASIE web area.
The source for the UNESCO work cited in the video is as follows: UNESCO Institute for Statistics, 2023. Data for Education: A Guide for Policymakers to Leverage Education Data. Montreal: UNESCO Institute for Statistics