In partnership with the Midwest Dropout Prevention Research Alliance the study team used student-level data and a five-step process to identify the most accurate indicators of students' failure to graduate from high school on time. Student-level data came from attendance records, transcripts, and discipline records of grade 8 and 9 students in…

This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…

A study described the nontraditional adult students attending full-time, occupationally specific vocational training programs in Ohio. It also developed a dropout prediction model of enrolled students using sets of independent variables adapted from the Conceptual Model of Nontraditional Student Attrition and Persistence in Postsecondary…

Monitoring the well-being of children and adolescents is a critical component of efforts to prevent psychological, behavioral, and health problems and to promote their successful development. Research during the past 40 years has helped identify aspects of child and adolescent functioning that are important to monitor. These aspects, which…

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…