Measuring opportunities to learn (OTL) is crucial for evaluating education quality and equity, but obtaining accurate and comprehensive OTL data at a large scale remains challenging. We attempt to address this issue by investigating measurement concerns in data collection and sampling. With the primary goal of estimating group-level OTLs for large…

Incorporating an evidence-based approach in STEM education using data collection and analysis strategies when learning about science concepts enhances primary students' discipline knowledge and cognitive development. This paper reports on learning activities that use the nature of viscosity and the power of informal statistical inference to build…

The National Assessment Program for Literacy and Numeracy (NAPLAN) is intended to assess all Australian students in Years 3, 5, 7 and 9 to ensure equity and inclusion. This paper explores the extent to which equity and inclusion are achieved for students with disability through NAPLAN reporting. Document analysis of publicly accessible NAPLAN…

This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

Statistics need data and data need context. Contexts from across the curriculum can be the most powerful in creating interest, reward, and enthusiasm for both teachers and students. The activity described here is based in STEM, employing aspects of each field to create and solve a hypothetical problem of escaping from an erupting volcano (Science)…