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Hachey, Alyse C.; Conway, Katherine M.; Wladis, Claire; Karim, Shirsti – Journal of Computing in Higher Education, 2022
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,…
Descriptors: Undergraduate Students, Student Characteristics, Demography, Online Courses
Véliz Palomino, José Carlos; Ortega, Ana Maria – Journal on Efficiency and Responsibility in Education and Science, 2023
College dropout proves to be a critical problem in undergraduate programs that directly affects students and the related community, due to direct economic losses and significant social costs. This article addresses a systematic review of the literature on predictors of student dropout intention in higher education, focusing on scientific…
Descriptors: Dropouts, Intention, Undergraduate Students, Economic Factors
Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Foreman-Murray, Lindsay; Krowka, Sarah; Majeika, Caitlyn E. – Preventing School Failure, 2022
Students with disabilities drop out of high school at a higher rate than typically learning students, impacting their short and long-term educational and employment opportunities and making long-term financial stability less likely. In this review, the authors examined the indicators of dropout among students with high-incidence disabilities at…
Descriptors: Students with Disabilities, Dropout Prevention, At Risk Students, Secondary School Students
Landis, Rebecca N.; Reschly, Amy L. – Journal for the Education of the Gifted, 2013
The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…
Descriptors: Academically Gifted, Dropouts, Underachievement, Student Participation
Joksimovic, Srecko; Poquet, Oleksandra; Kovanovic, Vitomir; Dowell, Nia; Mills, Caitlin; Gaševic, Dragan; Dawson, Shane; Graesser, Arthur C.; Brooks, Christopher – Review of Educational Research, 2018
Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…
Descriptors: Online Courses, Educational Research, Literature Reviews, Nonformal Education
Zaff, Jonathan F.; Donlan, Alice; Gunning, Aaron; Anderson, Sara E.; McDermott, Elana; Sedaca, Michelle – Educational Psychology Review, 2017
A high school education prepares young people to participate positively in the economy and in civic life, among other positive life outcomes. However, nearly one in five American high school students does not graduate from high school on time, if ever. Progress has been made on understanding why students fail to complete high school and on raising…
Descriptors: High School Students, High School Graduates, Academic Achievement, Graduation Rate
Blount, Taheera – Journal of School Counseling, 2012
School counselors are charged to identify potential dropouts and they work closely with students to help them stay in school or find alternative means of completing their education. Ninth grade students transitioning to high school experience insurmountable challenges as they shift from middle school to high school. Students who lack the academic…
Descriptors: Dropouts, Risk, Intervention, School Counselors
Davidson, Cody; Wilson, Kristin – Journal of College Student Retention: Research, Theory & Practice, 2013
The purpose of this article is to trace the development of the Tinto framework for student integration and to critically analyze the application of the framework with nontraditional student populations. Specifically, the terms "academic" and "social integration" have become synonymous with student retention and, by extension,…
Descriptors: Academic Persistence, Social Integration, Nontraditional Students, Predictor Variables
Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel – Review of Educational Research, 2015
High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…
Descriptors: High School Students, Stress Variables, Dropouts, Models
Papamitsiou, Zacharoula; Economides, Anastasios A. – Educational Technology & Society, 2014
This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic…
Descriptors: Data Analysis, Data Collection, Educational Research, Learning Processes
Skiba, Russell J.; Arredondo, Mariella I.; Williams, Natasha T. – Equity & Excellence in Education, 2014
The term and construct "school-to-prison" pipeline has been widely used by advocates, researchers, and policymakers to describe the relationship between school disciplinary practices and increased risk of juvenile justice contact. It has been unclear whether the construct is a useful heuristic or a descriptor of empirically validated…
Descriptors: At Risk Students, Correctional Institutions, Institutionalized Persons, Discipline
Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
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…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)