There have been substantial advances in the development of states' education data systems over the past 20 years, supported by large investments from the federal government. However, the availability of modern data systems has not translated into meaningful improvements in how consequential state policies, such as funding and accountability…

This study examined the extent to which relations between students' perceptions of the learning environment, academic achievement, and study approaches measured by both self-reported and process data were consistent amongst 323 engineering students in a flipped classroom course. A hierarchical cluster analysis on four self-reported scales…

The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…

There has been extensive research using centrality measures in educational settings. One of the most common lines of such research has tested network centrality measures as indicators of success. The increasing interest in centrality measures has been kindled by the proliferation of learning analytics. Previous works have been dominated by…

Before the COVID-19 pandemic, the world struggled to address growing educational inequalities and fulfil the commitment to Sustainable Development Goal 4, which seeks to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The pandemic has exacerbated these inequalities and changed how education…

This year's Action Guide examines the need for new ways of measuring student success. Academic test scores are just one method of measuring student progress, offering an incomplete picture of student learning and growth. Educators and state leaders recognize that serving all students well requires focusing on their individual needs, including…

Research conducted to date provides a limited understanding of the landscape of school-based screening practices across academic, behavioral, and health domains, thus providing an impetus for the current survey study. A total of 475 K-Grade 12 school building administrators representing 409 unique school districts across the United States…

This study combined the methods from student approaches to learning and learning analytics research by using both self-reported and observational measures to examine the student learning experience. It investigated the extent to which reported approaches and perceptions and observed online interactions are related to each other and how they…

At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…

In Spring 2020, National Association of Charter School Authorizers (NACSA) convened a working group of authorizers and other stakeholders to learn more about the challenges they faced, given the data gaps caused by COVID-19, and to ask what guidance was needed for the sector to adapt to these unusual circumstances. Based on their feedback and…

Research conducted to date provides a limited understanding of the landscape of school-based screening practices across academic, behavioral, and health domains, thus providing impetus for the current survey study. A total of 475 K-12 school building administrators representing 409 unique school districts across the United States completed an…

Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

There is a long history of research efforts aimed at understanding the relationship between homework activity and academic achievement. While some self-report inventories involving homework activity have been useful for predicting academic performance, self-reported measures may be limited or even problematic. Here, we employ a novel method for…

This slide deck is a toolkit to help districts adapt existing school performance frameworks to the current moment or create new ones. These slides identify and walk through the fundamental questions districts need to consider in designing school performance frameworks that acknowledge the challenges that schools and students are facing, as well as…