Statistical investigations, a thread within the statistics strand of the mathematics and statistics learning area (Ministry of Education, 2007), are underpinned by the statistical enquiry cycle. As teachers introduce their students to the statistical enquiry cycle, they are supporting their students to become data detectives, posing and answering…

Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…

In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…

By exposing students to the concept of digital agriculture earlier in their lives, they will be able to develop the proper mindset to advance the field further when they enter the professional world. Engaging students in activities such as the one described here, which center on the Grand Engineering Challenges and socially relevant contexts, may…

The emergence of personalised data technologies such as learning analytics is framed as a solution to manage the needs of higher education student populations that are growing ever more diverse and larger in size. However, the current approach to learning analytics presents tensions between increasing student agency in making learning-related…

The tween and teen years are critical as youth explore and begin to form their identities. With "By/With/For Youth: Inspiring Next Gen Public Media Audiences," the Joan Ganz Cooney Center at Sesame workshop and the Corporation for Public Broadcasting seek to more deeply understand the current media habits of tweens and teens in order to…

This report provides information about the sample, survey instrument, and resultant data for the 2019 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2019 via the RAND Corporation's American Educator Panels (AEP). It includes a full set of basic frequency tables for each survey. The LTS focus on several…

This report provides information about the sample, survey instrument, and resultant data for the 2020 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2020 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several topics,…

Over the past several years, policymakers across the country have enacted and updated policies designed to address safe data use in modern and evolving classrooms; now, changes in teaching practice are happening on an unprecedented scale and pace following the rapid transition to online learning. States will need to move quickly to provide student…

Existing scholarship suggests that schools do the work of social stratification by functioning as "sorting machines," or institutions that determine which populations of students are provided educational resources needed to help them get ahead. We build on this theory of social reproduction by extending it to better understand how…

Despite the considerable resources dedicated to teacher evaluation reform, there is currently little evidence on the mechanisms by which evaluation translates into improvements in teachers' instructional practice. To address this need, this study was a two-pronged approach to examine the use of evaluation data for improvement within the Chicago…

To be literate in a society where the information shared online is often exploited, learners should be exposed to multiple aspects of contemporary predictive modeling. This article explores an activity in which grade 10 students learned how a famous AI algorithm (the Apriori algorithm) uses conditional probability to automate the process of…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

Over the course of four meetings, the Hunt-Lee Commission engaged in comprehensive conversations around key education opportunities including transitions, structure and alignment, funding, and access. Each meeting included presentations from resource experts and opportunities for Q&A and small group discussions. The final report summarizes…

This dissertation consists of three papers. Online Learning, Offline Outcomes: Online Course Taking and High School Student Performance. This paper uses fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face, both for initial attempts and for…