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…

The Division of Student Engagement and Enrollment Services at Old Dominion University (ODU) submitted a Request for Assistance to examine the challenges sophomore students face that can lead to attrition. A doctoral research team conducted an exploratory, sequential, mixed-methods study consisting of a literature review, focus groups and…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…

There is currently a heavy emphasis on career-connected learning for high school students in New York City. ExpandED Schools' science, technology, engineering and mathematics (STEM) Options (ES Options) program predates the newest of these initiatives. Launched in 2019, ES Options combines a credit-bearing STEM apprenticeship in the spring with a…

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

Considerable research on effective instruction in the virtual classroom exists. Yet very little is known about the extent to which instructor presence (IP) based on the Community of Inquiry model (CoI), are directly related to retention and student success. CoI includes three components of IP: teaching (TP), cognitive (CP), and social (SP). These…

Within students' attrition studies, it is necessary to assess the longitudinal evolution of students within a given course of study, from enrolment to exit from the university through degree completion and academic dropout. Here, the student's academic progress is monitored through the number of courses failed each semester enrolled. The students'…

This year's study is the 34th in a series of annual reports on trends in dropout and attrition rates in Texas public schools, with the initial attrition study released by the Intercultural Development Research Association (IDRA) in 1986. The 2018-19 study builds on a series of studies by IDRA that track the number and percent of students in Texas…

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…