The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…

The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…

To better understand the implications of the spring 2020 disruptions on student learning, the New Hampshire Department of Education (NHDOE) administered the SAT assessment to all 12th graders in the state in fall 2020 and a truncated version of the New Hampshire Statewide Assessment System (SAS) to fourth through eighth graders and the full…

The divide between those who do and those who do not excel in mathematics is patterned in problematic ways. Women and people of color are typically underrepresented in Science, Technology, Engineering, and Math (STEM) and other quantitative fields (ex. Finance) where mathematics plays gatekeeper. However, mathematics is not a subject these groups…

Many school systems ask teachers to assess and report upon aspects of student performance beyond academic achievement. In Ontario, K-12 teachers assess a common set of six Learning Skills and Work Habits. How well teachers are able to undertake these assessments is not well studied. This study examines Grade 9 and 12 report card data from two…

Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP® Exam--based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara & Millsap, 2006; Zhang, Patel & Ewing, 2014a). For most…

For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…

This action research explored how Year 12 achievement data were used by school personnel to inform practice within seven Catholic secondary schools. Deputy Principals of Curriculum from participating schools were interviewed regarding their perceptions of the improvement of Year 12 student achievement outcomes, and their insights into how to…

This study takes advantage of the unexpected announcement of the Kalamazoo Promise to study its effects on student achievement and behavior in high school. The Kalamazoo Promise provides college scholarships to graduates of Kalamazoo Public Schools (KPS), a midsized urban school district in Michigan that is racially and economically diverse.…

New Visions for Public Schools has leveraged student-level data to help schools identify at-risk students, designed metrics to capture student progress toward graduation, developed data tools and reports that visualize student progress at different levels of aggregation for different audiences, and implemented real-time data systems for educators.…

The purpose of the study was to update previous meta-analytic findings on the effectiveness of using similarities and differences as an instructional strategy. The strategy includes facilitating student comparison, classification, use of analogies, and use of metaphors. Previously, Marzano, Pickering, and Pollock reported a mean effect size of…

This article reports on findings based on analyses of a unique dataset collected by ACT that includes information on student achievement in a variety of subjects at the high-school level. The authors examine the relationship between teacher effect estimates derived from value-added model (VAM) specifications employing different student learning…

Teachers and administrators have access to large volumes of data but research suggests that they lack the skills to use data effectively for continuous school improvement. This study involved a cross-case analysis of two high school leadership teams' early stages of evidence-based practice development; differing forms of external support were…

In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…

Schools and districts across the country are being subjected to some of the fiercest budget cuts in recent history, even as principals are held increasingly accountable for significantly improving student achievement, particularly in schools labeled "persistently low-achieving." For the 5,000 lowest-performing schools, there is the…