Dropout rates in engineering degree programmes at universities are high, and skilled workers are needed. Universities try to prevent dropouts with different offers one of which is attending bridging courses. Research on the effects of these programmes is rare, especially in subject-specific programmes and study formats like cooperative education.…

Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…

Students in high school or secondary school face challenges that too often lead them to drop out of school. Administrators and staff in many of these schools have attempted to address this challenge by adopting a framework of Positive Behavior Interventions and Supports (PBIS) that offers graduated tiers of intervention suited to students' needs.…

Even prior to the COVID-19 pandemic, online learning had become a fundamental part of post-secondary education. At the same time, empirical evidence from the last decade documents higher dropout online in comparison to face-to-face courses for some students. Thus, while online learning may provide students access to post-secondary education,…

School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…

The purpose of this study was to examine the factors associated with academic achievement in at-risk high school students attending one of four charter schools in south Florida geared toward dropout prevention. Several factors were identified through a thorough review of the literature to identify the common demographic variables associated with…

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…

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…

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…

This study was conducted to assess the experience and causes of school dropout among public secondary (high) schools in Palestine, and to explore processes to combat this. We identify the factors and illustrate a conceptual model for student dropout from school. This involves diverse factors including family background, teachers, school's…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

The "leaky pipeline" with regard to students' engagement in Science, Technology, Engineering, and Mathematics (STEM) has triggered extensive research to understand and prevent students dropping out from STEM. To boost enrolment and interest in STEM fields, integrated STEM (iSTEM) education could be harnessed by providing students with…

Grounded in the concept of organizational demography, the authors investigate various demographic, precollege, and socioeconomic student-level attributes that universities readily house, and use them to create customized early warning tools to advance students' academic success. Upon a review of prior studies of sociodemographic influences in…

Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…

The use of credit recovery as a high school dropout prevention strategy has rapidly increased within the last twenty years. The majority of public schools within the United States of America utilize at least one form of credit recovery. Credit recovery programs include a range of instructional delivery methods and may include various curricula and…