School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…

This supplement contains documentation on the explicit and implicit stratification variables included in the PIRLS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…

This research analyzed linked high-quality state data from K-12, adult education, and postsecondary state datasets in order to better understand the association between student demographics and successful completion of a postsecondary program. Due to the relatively small sample size compared to the large number of features, we analyzed the data…

Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…

Purpose: The purpose of this study was to examine the role of teacher characteristics and school demographics in teachers' perceptions of children's cognitive abilities. Most researchers find that teachers' personal characteristics are not related to their perceptions of their children's cognitive abilities. In a 2011 study, Douglas Ready and…

This supplement describes national adaptations made to the international version of the PIRLS/prePIRLS 2011 background questionnaires. This information provides users with a guide to evaluate the availability of internationally comparable data for use in secondary analyses involving the PIRLS/prePIRLS 2011 background variables. Background…

An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…

The PIRLS 2011 international database includes data for all questionnaires administered as part of the PIRLS 2011 assessment. This supplement contains the international version of the PIRLS 2011 background questionnaires and curriculum questionnaires in the following 5 sections: (1) Student Questionnaire; (2) Home Questionnaire (Learning to Read…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

This paper describes a study of success factors in high enrollment courses in a K-12 virtual school learning environment. The influence of variables: time student spent in the learning management system (LMS), number of times logged into the LMS, teacher comment, participation in free or reduced lunch programs, student status in the virtual school…

Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…

This compilation of tables and a brief text on the states' educational programs emphasizes demographic and fiscal background information. Public school system characteristics by state show the following: number of school districts, number enrolled, school age population estimates, percent of persons age 5-17 years in households below the poverty…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…