Despite widespread use of multi-grade classes, there is a lack of high-quality recent research on multi-grade teaching and its impact. This project will investigate the extent, drivers, and impact of multi-grade teaching in England’s mainstream primary schools to fill this evidence gap.
The project will include interviews and focus groups with primary school staff and education leaders – participants will be invited to take part based on set criteria.
The project will also include case studies in primary schools. Participants will be invited to take part based on an analysis of administrative data.
The project will also involve a national survey of primary school leaders. Participants will be invited to take part based on a sample drawn from administrative data. The survey data will be matched to National Pupil Database records (pending approval from DfE).
This is a mixed methods project involving analysis of data collected through interviews, focus groups, case studies and a national survey which will be matched to the National Pupil Database.
Research participants will be asked about their experiences of delivering multi-grade teaching or leading schools or systems in which it is delivered.
The research will develop practical recommendations for practitioners on why, when, and how to adopt multi-grade teaching along with advice on key considerations, barriers and opportunities. It will also provide evidence to help national and local policymakers provide more targeted funding, support, advice and professional development for schools.
Findings will be shared directly with school and trust leaders, the Department for Education, local authorities, representative bodies, and providers of teacher training and professional development.
Interviews, case studies and focus groups are expected to take place in 2026. The survey is expected to take place in Autumn term in 2026.
The findings will be made available in the form of two reports set to be published in 2027.
Participants will be invited to take part based on set criteria and/or analysis of administrative data.
If you would like any additional information or have any further questions, please contact Michael Scott, project leader via [email protected].