Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…

The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…

Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…

For states to build statewide longitudinal data systems that empower people with access to information about education and workforce pathways, state leaders must consider the human capacity they already have, and must develop, to support this work. Building the human capacity required to manage, analyze, and protect data means investing in and…

This knowledge brief is part of a continuing series designed to inform California education leaders about new research findings on key state policy topics. It summarizes recent findings on improving the access to, and the use of, teacher workforce data in California, and focuses on the importance of instituting a statewide teacher data system that…

The statewide longitudinal data system (SLDS) Survey was first administered in the summer of 2017. This annual survey was created to help inventory the current data capacity of states' and territories' SLDSs. It not only focuses on whether a given data type or use is in place, but also explores the development of these data systems and their…

Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio-environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust…

Post-secondary education (PSE) experienced explosive growth and diversification over the past century, affording students a range of increasingly complex pathways that they can travel to acquire a credential. In various jurisdictions, governments have made significant investments to facilitate student uptake of unconventional transfer pathways…

As state and local education agencies increasingly focus on serving educators with their data systems, a common challenge has arisen: identifying the critical knowledge, skills, and behaviors needed by teachers and administrators to use data effectively. Many states are creating data literacy and data use training programs for pre- and in-service…

California's education data, at least as they currently are collected, managed, and made available, are not sufficient for understanding and addressing the needs of California's students. That's the conclusion of the first three reports in the series "California Education Policy, Student Data, and the Quest to Improve Student Progress,"…

Determining whether a state's young people are on track for a life with opportunity is a critical -- but diffcult -- task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and…

The explosive growth of the data analytics field has continued over the past decade with no signs of slowing down. Given the fast pace of technology changes and the need for IT professionals to constantly keep up with the field, it is important to analyze the job skills and knowledge required in the data analyst and business intelligence (BI)…

Statewide Longitudinal Data Systems grant-funded projects represent one of the most developed and systemic K-12 education data projects in U.S. history. This report reviews what types of K-12 data elements are included in state systems, data linking with other systems, and how the data are used for reporting and decision making.

Despite the emphasis on data-based decision making (DBDM) in educational policy in several countries, evidence regarding the intended effect of improved student achievement is still scarce. The purpose of this study is to examine the effects of a DBDM intervention on teacher efficacy. This study incorporates an experimental longitudinal research…

In this paper, I share the results of a study of teachers' ideas about student decision-making at entry into a professional development program to integrate engineering into their instruction. The framework for the Engineering Design Process (EDP) was based on a Challenge-Based Learning (CBL) model. The EDP embedded within the CBL model suggests…