This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

11 community colleges in New Jersey and two Historically Black Community Colleges (one in Alabama and one in Mississippi) joined the OnPath project, which had the goal to help community college students stay enrolled during the pandemic. OnPath facilitated a powerful combination of people and knowledge by bringing together college staff members…

Remedial activities are considered by many authors as an effective strategy for preventing and reducing school dropout. In recent years however, numerous studies showed evidence that we cannot point to one factor that influences the decision to leave school and to only one strategy to prevent or reduce it. Meanwhile the results in the field of…

This report was prepared pursuant to Public Chapter 322 (hereafter referred to as the Act), now codified at T.C.A. §4-1-220; which requires the Tennessee Department of Education (department) to conduct and publish a study of best practices in other states for the use of ninth grade "on-track" indicators in state accountability systems to…

This staff working document is intended to accompany and support the Commission proposal for a Council Recommendation Pathways to School Success, which will repeal and replace the 2011 Council Recommendation on policies to reduce early school leaving. The staff working document sets out in more detail and depth the concepts put forward in the…

This article assesses the impact of a two-year long project-based learning program conducted by the National Opera of Paris in a large number of middle schools located in underprivileged areas, aiming at preventing school dropout and tackling educational inequalities by providing disadvantaged students with the opportunity to discover the world of…

First-generation students comprise nearly half of the college going population, but are also disproportionately more likely to drop out of college before their third year (RTI International, 2019). Scholars tend to argue that first-generation college students lack the social capital, or access to resource rich networks that can provide information…

The purpose of this paper was to investigate the interventions and strategies used with students considered at-risk of dropping out of high school in Missouri public high schools. Self-determination theory was used to explain how students became motivated to stay in school when their need for competence, connection, and autonomy are fulfilled.…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

Emotion (or affective) artificial intelligence (AI) is a hot topic within the greater field of AI, in both, academic as well as practitioner circles. One of the industries with great potential for AI implementation is education. While emotion AI is commonly referred to as a field of growing interest, research in the specific context of education…

Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…

This paper explores the factors contributing to high dropout rates in U.S. education, particularly in higher education, where 40% of students leave before completing their degrees. It examines causes such as financial difficulties, mental health issues, and lack of engagement, and discusses strategies to reduce dropouts. Key approaches include…

Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…

Background/Context: Emerging experiences suggest that research-practice partnerships (RPPs) can benefit both research and practice. As researchers and practitioners become part of the same social network, they also can become trusted sources of information for one another. By modeling the research use process, practitioners can incorporate what…

Based on existing empirical research, schools continue to use single intervention programs for intervening on behalf of at-risk students despite the fact that those programs do not meet with significant success in decreasing dropout rates. The problem is that the phenomenon of multidimensional approaches to intervening on behalf of ninth-grade…