Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…

Not all students who enroll in college complete their degree. Students who drop out of college and fail to graduate represent a dilemma for higher education administrators. Determining factors that may lead to attrition has been a topic of discussion amongst educators. The purpose of this study was to determine whether there are any relationships…

The purpose of this dissertation study was twofold. First, this research study examined the role of noncognitive factors on degree completion, academic achievement, and persistence. Second, this research study examined the utility of the Personal Potential Index (PPI) as an avenue to reliably assess noncognitive factors of graduate students that…

Affirmative action policies are oftentimes pitted against the need of universities to maintain meritocratic standards in enrollment. The current study tackles this institutional dilemma against the standard of student attrition. It does so by analyzing records of 41,483 undergraduate students who attended the Hebrew University of Jerusalem…

While student attrition constitutes a major institutional concern at the undergraduate level, this topic is overlooked at the master's level. Dropout rates have been documented, but no solid predictive models are to be found. Likewise, little is known about students' decision to terminate their studies. With growing enrolment numbers in…

Studies found that students from low socioeconomic backgrounds have higher odds of dropping out from higher education. Academic hardships were also identified as predictors. The current study utilizes data on 45,752 students who started their studies at The Hebrew University of Jerusalem (2003-2015). Descriptive statistics reveal that 18% of all…

Early withdrawal from higher education (HE) programmes can be detrimental for the students and institutions involved. Quantitative research has often concentrated on demographic and social antecedents (e.g. gender, prior education). Other factors may be more open to intervention e.g. students' academic experiences in HE. Using data from an…

This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…

This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…

Along with the massification of higher education and increasing costs, the pressure on institutions to retain all students to degree completion has been mounting. Early identification of students who are at risk of leaving an institution may help institutions to target and retain these students. This study investigated whether freshmen behaviors,…

Purpose: This paper aims to focus on the experience of monitoring of first year student attrition in a large metropolitan multi-campus university during 2004-2010. The paper seeks to discuss the trends in student attrition which have been found and identify key issues which have been and need to be addressed by the university in order to increase…

Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…

Despite the popularity of online education, lack of persistence and attrition are problems faced by many colleges. Although multiple studies have been published about the best teaching methods for the online education environment, little is known about how to identify the student who is at risk of dropping from an online course. The lack of…

The purpose of this study was to examine how the mode of instructional delivery, campus face-to-face or online, affected dropout relative to students' academic and demographic characteristics. A quantitative study was conducted to analyze the academic and demographic characteristics of newly admitted, matriculated degree-seeking students (N = 640)…