This article contributes to our understanding of the gap in college access by examining (a) the extent to which and (b) how high school counseling focused on college broadens access. We extend Engberg and Gilbert's typology of schools based on high school counseling norms and resources. Using recent data from the High School Longitudinal Study of…

This report examines the role of English learner (ELs) status in four-year college enrollment and bachelor's degree completion among Houston Independent School District (HISD) high school graduates. We divide students into four groups: students who are never classified as EL (hereafter referred to as "Never EL" students), ELs who are…

This study examined when students with disabilities graduated high school and how graduation patterns differed for students based on selected demographic and educational factors. Utilizing statewide data on students with disabilities from Massachusetts from 2005 through 2012, the author conducted discrete-time survival analysis to estimate the…

This paper explores the annotation and classification of students' revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with…

This study examines the relationships between the normative and resource dimensions of a high school counseling department and four-year college-going rates. Utilizing data from the High School Longitudinal Study of 2009 (HSLS: 09), we employ multiple regression and latent class analysis to identify salient factors related to the college-going…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

Using the Longitudinal Study of Young People in England (LSYPE), this study examines how different combinations of aspirations, expectations and school achievement can influence students' future educational behaviour (applying to university at the age of 17-18). The study shows that students with either high aspirations or high expectations have…

Drawing on a nationally representative sample of high school seniors from the Educational Longitudinal Survey of 2002 (ELS), this study examines the influence of the high school socioeconomic context on students' decisions to attend two-and four-year postsecondary institutions. The results provide evidence of resource imbalances based on…

This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…

Latent class analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this…

Chronic victimisation in adolescence is a traumatic experience with potential negative long-term health consequences. Given that victimisation has been shown to increase over the transition from primary to secondary school, longitudinal data from 1810 students transitioning from primary to secondary school were used to identify victimisation…

The 2010 Census revealed the extent to which today's metropolitan areas are growing increasingly diverse. At the forefront of this change are schools. Yet, research on school context continues to rely upon a traditional, cross-sectional bifurcation that designates schools as either diverse or not. This classification may be especially inaccurate…

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 Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…