This Data Insight outlines preliminary findings on engagement with the Hwb virtual learning environment by pupils in primary, secondary and special school sectors during the academic year 2019/2020.
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This Data Insight explores the Flying Start programme as a geographical profiling tool to anonymously identify vulnerable families. It also explores data driven models as an alternative method of identifying individuals at risk of experiencing adverse events.
This Data Insight examines the factors in the local area that can help a child overcome the negative impacts of poverty by looking at which different socio-economic determinants of a local area are associated with resilience in children.
In a new Data Insight report, researchers from ADR Wales have investigated how the data collected from pupils about their career plans, when combined with administrative data, can provide insight into their different circumstances and capabilities.
This research details grade attainment and change for early and multiple entry to GCSE
mathematics subjects.
This research examines patterns of early entry for various subjects over time, detailing high levels of multiple entry for mathematics subjects.
In this Data Insight researchers at Swansea University Medical School investigate the risk factors for children’s low school readiness (e.g. low vocabulary and communication, low on ability to socialise).
This Data Insight from ADR Wales uses data linkage to explore absenteeism over an 11-year period for a single birth cohort in Wales.
This research uses linked data to learn more about careers guidance received by children in Welsh schools. It examines how this is influenced by pupils’ demographic and academic characteristics.
