Introduction: We report predictive validity of the newly defined Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE 9, with 9 items) when used for the first time by middle and high school teachers from 43 schools. Methods: The sample included 11,773 middle school-aged students representing four geographic regions, and 7,244…

This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…

This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…

In this article, we examined predictive validity of "Student Risk Screening Scale for Internalizing and Externalizing" (SRSS-IE) scores for use at the middle (N = 2,313 from four middle schools) and high (N = 2,727 from two high schools) school level. Results indicated middle and high school students with high levels of risk according to…

This study examined the predictive validity and classification accuracy of individual- and group-administered screening measures relative to student performance on a year-end state reading assessment in two states. A sample of 321 students was assessed in the areas of word-level and text fluency, as well as reading comprehension in the fall of…

This study examined the predictive validity and classification accuracy of individual and group-administered screening measures relative to student performance on a year-end state reading assessment in two states. A sample of 321 students were assessed in the areas of word-level and text fluency, as well as reading comprehension in the fall of…

Previous research strongly suggests that beliefs regarding the nature of ability and the payoff to effort (academic mindsets) and the related actions (academic behaviors) play an important role in supporting student success. Not much is known about the distribution of these beliefs among teachers and students in different academic contexts. This…

This study reports findings from a validation study of the Student Risk Screening Scale for use with 9th- through 12th-grade students (N = 1854) attending a rural fringe school. Results indicated high internal consistency, test-retest stability, and inter-rater reliability. Predictive validity was established across two academic years, with Spring…

The goal of this study was to identify variables related to success and resilience in an undergraduate, high school mathematics teacher education program. Over a five-year period, we tracked the academic performance and achievement motivation goals of multiple cohorts of students. Students who successfully completed their degrees had higher grade…

Community colleges have been criticized for having lower graduation rates than four year colleges, but few studies have looked at non-graduation transfer, in which a student leaves the community college for a four-year college without taking an associate degree. The current study utilizes institutional data and a discrete-time event history model…

This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…

The purpose of this study was to explore patterns of within-group variability in the emergent literacy skills of preschoolers who are at risk for academic difficulties. We used the person-centered approach of cluster analysis to identify profiles of emergent literacy skills, taking into account both oral language and code-related skills.…

There is convincing evidence that many students struggle to learn mathematics proficiently. One plausible contributor to the low math achievement is the quantity and quality of learning opportunities provided in classrooms. These opportunities may fall short of addressing the learning needs of students, especially those at risk for failure in…

The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student's likelihood of dropping out of high school in large, urban areas. The Early Warning…

There is a growing body of literature linking curriculum based measurements and general outcome measures to state test outcomes. With an increasing focus on the early identification of students at risk for academic failure, the present study investigated the predictive validity of preschool early literacy general outcome measures (GOMs) in a low…