Despite the increasing awareness of basic needs insecurity and its adverse impacts on students' academic achievement and wellbeing, the racial and social inequities in these experiences remain a critical issue requiring scholarly attention. Using the #RealCollege Survey Dataset, this study investigates the prevalence of basic needs insecurity…

This study sought to better understand present-day relationships between institutional and programmatic characteristics and their impact on student outcomes at postsecondary career and technical schools. This is critical given: (a) the existence of a significant middle-skills gap impacting the U.S. economy; (b) a lack of research and guidance for…

Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…

The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…

This study conducted a secondary analysis using data from the "National Longitudinal Transition Study-2" (NLTS-2) to examine the degree to which three of the four essential characteristics of self-determination (autonomy, psychological empowerment, and self-realization) predict enrollment in, and completion of, postsecondary education…

Poor academic performance and dropout are major concerns at post-secondary institutions. Influences include sociodemographic, psychosocial, and academic functioning factors. Canadian literature is limited, and little published data directly compare academic outcomes between local-born, immigrant, and international students. We conducted a…

We use longitudinal data on all high school students in Washington State, including postsecondary education and workforce outcomes, to investigate predictors of intermediate and postsecondary outcomes for students with disabilities. We pay particular attention to career and technical education (CTE) enrollment and the extent of inclusion in…

There has been a threefold increase in the employment of casual academics in Australian universities within the last 20 years, to the extent that most teaching and marking is now undertaken by casual academics, also known as sessional staff. Yet, casualised teaching and assessment has been considered a risk to student engagement and success, and…

Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. In this webinar, veteran practitioner, Roni Silverstein, talked about the value of this process and practical ways to use it in your school or…

This exploratory study was designed to identify the factors predictive of participation in postsecondary education for high school leavers with autism. A secondary data analysis of the National Longitudinal Transition Study 2 (NLTS2) data was performed for this study. Potential predictors of participation in postsecondary education were assessed…

Using a nationally representative longitudinal data-set, we examine the influence of precollege access programs on high school achievement, college preparation, postsecondary enrollment, and postsecondary persistence. Results do not show much difference in the level of academic preparation between participants and non-participants. However,…

The aim of this study was to examine the experiences of international undergraduate students who are identified with learning disabilities and enrolled in universities in the United States. There is a dearth of studies investigating the unique needs and challenges of this population. This is the first study to explore the phenomenon of…

This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…

In this paper, we exploit a rich longitudinal data set to explore the forces that, during high school, shape the development of aspirations to attend university and achieve academic success. We then investigate how these aspirations, along with grades and other variables, impact educational outcomes such as going to university and graduating. It…

Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…