Intervention models based on data use can be effective in raising student achievement. This article presents 3 studies of one such model which had reported improved reading comprehension levels in 7 poor urban multicultural schools serving indigenous and ethnic minority communities. The intervention (the Learning Schools Model) used a process comprising critical discussions of achievement and teacher observation data to develop specific and contextualized content for fine-tune instruction. The reliability and generality of the effects of the model were tested in a cluster of “like” schools and a cluster of “unlike” schools. The growth models showed similar effects to the original schools, with gains of between 3 to 4 months additional progress per year over 3 years. The replications show that models that use data to design local program content can be reliably and generally effective, but also there is a need to examine differential effects.

The New Zealand education system is recognised internationally for its overall high quality. At the same time, there is a persistent gap in achievement between students in low socio‐economic status (SES) schools in which there is an over‐representation of Māori and Pasifika students, and students in more affluent communities. In this paper, we present the findings of a study that explored the participation and achievement rates of secondary school students in selected literacy standards, and used classroom observations to record practices and resources used in literacy teaching. Our findings show the extent to which unequal opportunities to learn (OTLs) for Māori and Pasifika and other students from low SES communities exist at the systems level as well as at the level of classroom instructional offerings. We discuss the factors specific to the New Zealand curriculum and assessment systems that contribute to the current situation and suggest possible ways to achieve a more equitable outcome for all students.