Students with Emotional Behavioral Disorders (EBD) exhibit behaviors that interfere with their ability to access instruction and identifying feasible and effective school-based interventions is critical for promoting their academic success. Previous research has shown the positive effects of a self-management package that involved gradually and…

This systematic review synthesizes the effects of mathematics vocabulary interventions on the mathematics outcomes of students with mathematics difficulty (MD) in Grades K through 12. We evaluated methodological rigor using three indicators: research design, implementation fidelity, and instruction in the counterfactual. Six peer-reviewed studies…

Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…

For 4 years, the Massachusetts Department of Elementary and Secondary Education (DESE) has collected and analyzed early literacy screening assessment data from schools and districts that participated in targeted state grants. In 2023/24, the 1st year that screening was required for all kindergarten through grade 3 students statewide, data were…

In the prior article, White and Huangoffer the most developed work extant categorizing charter school foci, to encourage further research regarding charter school effectiveness. In this research note, we test whether "having" a focus affects school survival and growth. Recognizing Arizona as an early adapter of charter schooling, we…

An open-ended serious game can engage students' scientific problem-solving processes. However, understanding how students learn higher-order thinking skills through solving a problem in an open-ended game system is a challenge. The complex game systems may make learning more difficult for students with different characteristics such as an at-risk…

The purpose of this study was to examine the effect of the implementation of Schoolwide Positive Behavior Interventions and Supports (SWPBIS) guidelines for success on the academic achievement of students who are at-risk academically and/or behaviorally in a small private school in the southeastern United States. The student population consisted…

This study aims to measure the impact of 95 Percent Group's Phonological Awareness Lessons (PA Lessons), an intervention program designed primarily for Tier 2 or 3. The study is a replication of Schechter & Lynch (2023) research conducted in the same medium-sized school district, Val Verde Unified School District, in California during the…

Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…

Students from a lower socioeconomic background have a higher risk of dropping out of higher education. The underlying mechanisms of this association between socioeconomic background and higher education dropout are not well understood. Previous research in higher education has followed Tinto's model of academic and social integration to explain…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…

In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…

Objective: Emergent research suggests that trauma-exposed Latinx college students are a particularly at-risk group for eating-related problems. For this reason, there is a need to further understand the cognitive processes that may underpin maladaptive eating among this vulnerable segment of the population. Participants: Participants included 304…

Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…