While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…

This study aims to draw attention to data literacy, which is considered an important skill of the 21st century, and to provide an example activity that would incorporate it into chemistry education. The activity was designed using real data of Robert Boyle's experiment. The activity aims to examine Boyle's data in such a way to support data…

Gifted students can exhibit extreme variance in both their abilities and their interests, yet they are often treated within schools as one homogeneous, specialized population. "Personalized Learning in Gifted Education" helps educators strengthen their differentiation of both instruction and services for advanced students. This book: (1)…

Given the concerning lack of teachers of color in Minnesota, the positive outcomes of having a diverse educator workforce, and growing legislative action in this area with the Increase Teachers of Color Act, the Minnesota Department of Education with the assistance of the Wisconsin-Minnesota Comprehensive Center Region 10 (R10CC) sought to better…

Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…

While the majority of U.S students are children of color, only 20% of teachers are people of color. What's more, 40% of the nation's public schools do not have a single teacher of color on record. Research shows that all students, regardless of race or ethnicity, benefit socially, emotionally, and academically from a diverse teacher workforce.…

This document contains the technical appendix for the report, "Equal Is Not Good Enough: An Analysis of School Funding Equity across the U.S. and within Each State." The report describes an analysis of funding disparities between the highest and lowest poverty school districts, as well as districts serving the most and the fewest…

The problem explored in this study was that the state education agency recommended school board members of low-performing school districts participate in a governance training called student outcomes governance to address student achievement, yet no data suggested the training changed school board members' understanding of how to create policies…

Despite acknowledgement in the data-informed decision making (DIDM) literature that data use is not a purely rational process, there has been little attention paid to the role of values and normative factors that underpin school improvement planning (SIP) processes and little consideration of the inherent evaluative nature of associated activities…

A school in South Carolina developed a strategic plan to implement a professional learning community structure in the school, where teachers work together to evaluate student data to improve instruction. However, teachers at the school did not understand how to use data-driven instructional practices to drive classroom instruction. The purpose of…

The purpose of the study is to examine the retention rates of Full-time, First-Time in College (FTIC) students by academic discipline and explore what services and university policies are available in each college to retain its students. While the data obtained from the Southern University Fact book for the years 2016 - 2020 examined the retention…

A simple experiment was developed to introduce students to the sustainable procurement of water through fog harvesting that can be used for drinking or irrigation purposes. Access to clean water and sanitation is problematic particularly within dry regions such as in areas of Peru, although there is a significant amount of fog in the mountainous…

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…

This support document accompanies the research summary "From VET to Sustainable Employment for Aboriginal and Torres Strait Islander Peoples," which examines the contribution of vocational education and training (VET) participation to sustainable employment for this cohort of the Australian population. The purpose of this document is to…