The American Rescue Plan Act has made funds available to states and districts to speed up recovery from the effects of COVID-19, including addressing learning loss. The Wallace Foundation has distilled evidence from its work that may be helpful in informing choices about how to spend those funds, as well as how to implement key strategies.…

The Education Endowment Foundation (EEF)'s mission is to break the link between family income and educational achievement. This is achieved through summarising the best available evidence in plain language, generating new evidence of 'what works' to improve teaching and learning, and supporting teachers and school leaders to use research evidence…

This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…

Single subject design (SSD) research is a quantitative approach used to investigate basic and applied research questions. It has been used for decades to examine issues of social importance such as those related to general and special education strategies, therapeutic approaches in mental health, community health practices, safety, and business…

The goal of biological sciences is to understand the biomolecular mechanics of living organisms. Proteins serve as the foundation for organisms functional analysis and sequence analysis has shown to be invaluable in answering questions about individual organisms. The first step in any sequence analysis is alignment and it is common that even…

The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…

Consultation relies on story. This is true for researchers, for practitioners, and for clients. Given this fact, qualitative and mixed methods (QMM) research are particularly well suited to listening to the stories that compose the clinical practice of consultation in order to extend understanding and to support improvement and innovation. In this…

Recommender systems in educational contexts have proven to be effective in identifying learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In this article, we present the design of a hybrid…

We describe an innovative preorientation curriculum (POC) for a Master of Biostatistics (MB) program. The goal of the POC is to fill critical skills gaps for students entering the MB program from heterogeneous backgrounds so they are prepared to engage in the program's rigorous, fast-paced training upon arrival. To achieve this goal, we introduce…

Educational materials focused on spatial data analysis often feature mathematical descriptions of methods and step-by-step instructions of software tools, but infrequently discuss the set of decisions involved in specifying a statistical model. Failing to consider model specification may lead to specification searching, or the process of repeating…

The article shares collaborating educators (authors') experiences in supporting a group of student-teachers' interventions to improve learning practices as part of an action research course in a teacher education setting. The authors engaged in a series of reflective discussions in making sense of and improving the course process. Facilitation and…

We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our…

The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

This qualitative research study investigated the perceptions of successful turnaround school leaders regarding factors attributing toward success, barriers thwarting success, and strategies that assisted in minimizing barriers. This study specifically investigated the perceptions of African American school leaders in urban turnaround schools in…