This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…

Schools utilize an array of strategies to match curricula and instruction to students' heterogeneous skills. While generations of scholars have debated "tracking" and its consequences, the literature fails to account for diversity of school-level sorting practices. In this paper we draw upon the work of Sørenson (1970) to articulate and…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

Schools use an array of strategies to match curricula and instruction to students' heterogeneous skills. Although generations of scholars have debated ''tracking'' and its consequences, the literature fails to account for diversity of school-level sorting practices. In this article, we draw on the work of Sørensen and others to articulate and…

Using an integrated administrative data set, out-of-home residential placements (i.e., child welfare, juvenile justice, mental health) were examined in a sample of early adolescents in a large urban school district. Out-of-home placements were tracked across Grades 7 to 9 in a population of 58,000 youth. This included 10,911 students identified…

Behavioral and emotional problems among children and adolescents can lead to numerous negative outcomes without intervention. From a prevention standpoint, screening for behavioral and emotional risk is an important step toward identifying such problems before the point of diagnosis or referral. The present study conducted a k-means cluster…

Public schools with impressive records of serving lower-performing students are often overlooked because their average test scores, even when students are growing quickly, are lower than scores in schools that serve higher-performing students. Schools may appear to be doing poorly either because baseline achievement is not easily accounted for or…

Located in one of the most diverse cities in the world, the Toronto District School Board (TDSB) offers several programs catering to a variety of student interests. Specialty Arts Programs (SAPs) have gained particular attention in part because of their reputation as excellent schools providing a unique opportunity for training in the arts.…

This study evaluated a comprehensive mentoring program on selected at-risk students with specific school problems (attendance, discipline referrals, and core area grades). The sample included youths in Grades 4-8 who differed on some characteristics including grade-level, ethnicity, and gender. For the purpose of this mixed methods study, the…

This article provides provide a new, systematic profile of more than 18,000 homeless students in Michigan, utilizing rich administrative data from all test-taking students in Grades 3-9 during three academic years. These data are part of a larger study of school choice and student mobility in that state. Homelessness is a condition found…

This report examines the implementation and effects of the academic summer program for middle school students offered by Building Educated Leaders for Life (BELL). BELL's middle school program serves rising sixth- through eighth-grade students who are performing one to two years below grade level. The goals of the program are to increase students'…

This article reports on the implementation of a teaching approach based on Gardner's theory of multiple intelligences (MI) at a school in the Hammanskraal area in Gauteng, South Africa. The aim was to determine the impact that such an approach would have on teachers, learners and learner performance. This article discusses the implementation…

Schools are institutions in which students' course taking creates series of linked learning opportunities continually shaped by not only curricular structures but demographic and academic backgrounds. In contrast to a seven-step normative course sequence reflecting the conventional hierarchical structure of mathematics, analysis of more than…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

The National Education Longitudinal Study of 1988 (NELS:88) is a large-scale, national longitudinal study designed and sponsored by the National Center for Education Statistics (NCES), with support from other government agencies. Beginning in the spring of 1988 with a cohort of eighth graders (25,000) attending public and private schools across…