Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…

There is a rapidly expanding and proliferating number of commercial early childhood platforms, competing for market share in what has become a crowded marketplace. Early childhood platforms provide a wide range of functions including an all-in-one digital ecosystem offering a learning management system; social media communication between…

Expanding access to high-quality, affordable early childhood services is key to state efforts to support families' well-being, ensure that children are ready to succeed in school, and sustain a strong economy. Right now, early childhood data is typically housed in different, disconnected state and local systems. State leaders seeking to provide…

As California State University (CSU) launches its Pregnant and Parenting Students Initiative to increase graduation rates for parenting students at its campuses and works to implement the Greater Accessibility, Information, Notice, and Support (GAINS) for Student Parents Act, an exciting window of opportunity has opened for student voice to inform…

Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…

Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…

Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…

We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. Fortunately, support is broad across the country and across the political spectrum for a federal student-level data network (SLDN), which would…

Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This fall…

In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…

Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…

"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…

This dissertation is composed of projects on three aspects of gathering and learning from data in the social sciences: drawing representative samples, taking valid measurement, and making warranted inductive inferences. Chapter one studies the challenge of drawing representative human samples. It is well documented that most samples used by…

Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…

This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…