Over the last four to five years, I've increasingly been reflecting on the role of what were formerly referred to as offsite or pupil referral units. These are now subsumed within a more generic grouping known as alternative provision. My interest has been triggered by the recent publication of 'Alternative provision in local areas in England: a…

Post-secondary educational outcomes for care-experienced youth are poor. This has been a consistent finding across studies in many countries. Most studies do not distinguish between different types of post-secondary educational pathways and outcomes, however. There has been limited attention to the potential for post-secondary vocational education…

Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…

Results of a Principal Investigators Programmatic Data Inventory (PDI) of a National Science Foundation Robert Noyce Track Four project are discussed in this paper. The PDI results shed light on the development of STEM teacher scholars as they progress through the programs and of the qualifications and procedures of the application process. The…

The needs of youth at-risk and their families, facing multiple problems and serious mental health issues, exceed the expertise and possibilities of a single stakeholder (professional, organization, municipality). These youngsters require care in which the expertise of different professionals and organizations is integrated. However, combining…

A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate timely interventions and thereby elevate retention and completion rates. The overarching feature of the majority of these research studies has been on the science of…

An efficient assessment cycle is a necessary component of early literacy instruction. To support student growth, educators must screen, diagnose, and monitor student progress. Diagnostic assessments provide critical information that can empower educators to address student needs. Using information from diagnostic assessments requires educators to…

This paper applies the well-known cognitive bias of loss aversion from behavioural economics to student decisions over engagement with mathematically demanding coursework. This bias is shown to predict behaviour that is consistent with mathematics anxiety in a dynamic model of student engagement. It is shown that these forces can imply…

This study examined the effect of dual enrollment (DE) on college enrollment and degree completion for students with lower prior academic achievement who attended public high schools in Texas. We employed a propensity score matching method to reduce selection bias arising from DE participation and supplemented the analysis with a bounds test. The…

First graders with Developmental Language Disorder are considered at risk for exhibiting Specific Learning Disorder during school years. They also have deficiencies in their metacognitive skills, which leads to less effective learning processes. The current study examined, for the first time, the added value of various types of metacognitive…

The author focuses on positive psychology as an important approach to supporting the psychological well-being of students with gifts and talents. Research has identified protective factors that can counteract risk factors for suicidal behavior. These protective factors may be found within the individual, the family, peers, the school, the…

Background: Although most engineering graduate students are funded and usually complete their degrees faster than other disciplines, attrition remains a problem in engineering. Existing research has explored the psychological and sociological factors contributing to attrition but not the structural factors impacting attrition. Purpose/Hypothesis:…

Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…

High-quality single-case design research should include measures that assess the social significance of intervention goals, the social importance of intervention outcomes, and the acceptability and feasibility of procedures. We conducted a systematic review to examine the inclusion and use of social validity metrics in academic and behavioral…

Rapid automatized naming (RAN) has surged in popularity recently as an important indicator of reading difficulties, including dyslexia. Despite an extensive history of research on RAN, including recent meta-analyses indicating a unique contribution of RAN to reading above and beyond phonemic awareness, questions remain regarding RAN's relationship…