Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…

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,…

Contribution: This work evaluates the role of the complementary training programs (CTPs) offered by the Center for Research and Development in Electronic and Information Technology (CETELI), from the Federal University of Amazonas, Brazil. This analysis highlights the relevant role of the CTP, carried out by CETELI, in supporting students in the…

We describe the challenge of college non-completion in the U.S. and a variety of explanations for the high rate of non-completion. We then provide an overview of the implementation of and evidence from eight specific college completion interventions designed to increase college completion rates through a comprehensive set of services. The eight…

Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…

In this work, we investigate whether grants improve the academic outcomes of students from socio-economically disadvantaged families and thereby reduce inequalities of educational opportunities. We focus on Italy, which is characterized by high dropout rates, prolonged duration of higher education studies and considerable social inequalities in…

Dropping out of school comes from a long-term disengagement process with social and economic consequences. Being able to predict students' behavior earlier can minimize their failures and disengagement. This article presents the SASys architecture based on a lexical approach and a polarized frame network. Its main goal is to define the author's…

Abundant research has shown the influence of social background on university dropout. However, there is little research that considers the different progression options for analysing the structure of the decisions that students make. This article explores the possible alternative decisions of: (1) continuing the initial degree course chosen; (2)…

Dropout and low academic performance at university level constitute a big current challenge. In this work, materials comprising different interactive tools were developed following instructional design, rooted in the cognitive load theory. They were applied in a first-year lecture chemistry course to tackle low academic performance and high…

This paper examines whether colleges and universities in the United States striving to diversify their student communities are creating an inclusive environment that will effectively support these students throughout their academic careers. Current research on the experiences of students who identify as minoritized members of college communities…

Dropping out from undergraduate medical education is costly for students, medical schools, and society in general. Therefore, the early identification of potential dropout students is important. The contribution of personal features to dropout rates has merited exploration. However, there is a paucity of research on aspects of student experience…

This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…

The College Completion Network was established to expand the field's understanding of promising strategies that could support more students in attaining degrees at open- and broad-access institutions. Funded by a 6-year grant (2017-2022) from the Institute of Education Sciences, the network brought together research teams focused on postsecondary…

11 community colleges in New Jersey and two Historically Black Community Colleges (one in Alabama and one in Mississippi) joined the OnPath project, which had the goal to help community college students stay enrolled during the pandemic. OnPath facilitated a powerful combination of people and knowledge by bringing together college staff members…