The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

In this article, we empirically validate Tinto's Student Integration model, in particular, the predictions the model makes regarding both students' academic outcomes and their dropout decisions. In doing so, we analyze three decades' worth of student enrollments at an Australian university and present a novel methodological approach using graph…

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…

Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is…

Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…

Historically, higher education research has focused on traditional students (i.e., recent high school graduates at a residential, 4-year institutions), but community college students are quickly becoming the new traditional student (Jenkins, 2012). In the fall of 2011, more than one third (36%) of all students enrolled in postsecondary education…

Student retention rate has been a major concern for tertiary institutions around the world since the establishment of formal education. Generally speaking, not every student completes his or her study program. Although students fail to graduate for different reasons, some of them choose to voluntarily withdraw from their study programs. This might…

Purpose: Student motivation for positive academic outcome and persistence at school is significantly affected by personal and environmental factors. Anchored in self-determination theory, this study tested a motivational model which looked at how support in terms of perceived teacher autonomy and from school administration constituted the key…

The purpose of this study is to investigate the extent to which there is a typology of principals who depart from their schools in the U.S. using the 2007-2008 Schools and Staffing Survey and the 2008-2009 Principal Follow-up Survey. Prior principal retention research has focused on identifying factors that predict principal turnover; however,…

The objective of this paper is to better understand the factors that affect the chances of re-engaging early school leavers in education, with a particular focus on the importance of time out from school (duration dependence) and school-related factors. Using data from three cohorts of the Longitudinal Survey of Australian Youth and duration…

While policy-makers in Britain can justifiably lay claim to creating the term NEET to define young people who do not engage in formal learning, training or employment, the high number who fall into, and remain in, this category continues to challenge them. This, in part, is attributable to the extended use of the term NEET to capture all young…

Through the use of event-history techniques, we will show that a duration framework is adapted to the analysis of higher education attrition. Our dropout model allows for estimates to vary over time. While some factors exhibit constant effects, like high school characteristics, other effects do vary from the first year to the fourth. Men and women…

This article describes a model that can be used to analyze student enrollment data and can give insights for improving retention of part-time students and refining institutional budgeting and planning efforts. Adult higher-education programs are often challenged in that part-time students take courses less reliably than full-time students. For…

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

This manuscript addresses learning communities (LCs) as a strategy to retain graduate students until program completion. Definitions of LCs and their early development are presented. The benefits of LCs to groups of students with common interests are discussed. In addition, reasons for early graduate student attrition are included. Common models…