The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…

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,…

Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs--in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it focuses only on structuring its curricula, leaving aside several factors associated with important…

We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…

The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…

The purpose of this report is to analyze the stability of students' reliable integrated trend scores (RITS) over time and to determine which elementary school factors predict RITS at the secondary level.

Researchers have been working to understand the high dropout rates in computer science (CS) education. Despite the great demand for CS professionals, little is known about what influences individuals to complete their CS studies. We identify gains of studying CS, the (learning) environment, degree's usefulness, and barriers as important predictors…

In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…

High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…

Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…

One of the main intentions of the comprehensive higher education reform in Norway in 2003 was to improve student performance and completion. One way of doing this is to reduce the number of students leaving an institution. Institutions have limited options for reducing student departure, and one of the few routes open to them is changing the…

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…

Proposes a systematic approach that focuses on student success and continual improvement in retention to assess college student retention programs Identifies three major components of retention research: (1) determining dropout predictors; (2) identifying critical points; and (3) validating outcomes assessment of retention endeavors. Also…

Discusses the problem of student retention in higher education and warns that colleges that fail to develop effective programs of student retention will not be able to offset enrollment losses resulting from the dwindling college-bound pool. Experts agree that the total higher education community must work together. (JAC)

Data from a standardized reading test and student background information were correlated to determine relationships. Self-assessed reading scores and other data may be used for predicting retention, academic performance, and reading ability. Differences were found between persisters and dropouts on these variables. (Author)