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Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
Geisler, Sebastian; Rolka, Katrin; Rach, Stefanie – Educational Studies in Mathematics, 2023
The transition from school to university mathematics is a challenging process for many students. This phenomenon is reflected by high dropout rates from mathematics programs especially during the first year at university that may be related to the development of students' mathematical interest and self-concept. Taking a learning psychological…
Descriptors: College Freshmen, Student Interests, Self Concept, College Mathematics
Muench, Janice L. – ProQuest LLC, 2023
This research explores who is at risk of dropping out of high school and how collaborative Student Support Teams can contribute to students staying on track to graduate high school. The issue of student success is important because graduation is positively correlated with important life outcomes and ability to earn an adequate income in the labor…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Characteristics
Solveig Cornér; Lotta Tikkanen; Henrika Anttila; Kirsi Pyhältö – Studies in Graduate and Postdoctoral Education, 2024
Purpose: This study aims to advance the understanding on individual variations in PhD candidates' personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles. Design/methodology/approach: The authors explored the interrelationship…
Descriptors: Foreign Countries, Doctoral Students, Doctoral Programs, Student Motivation
Tim Baalmann; Ana Brömmelhaus; Julika Hülsemann; Michael Feldhaus; Karsten Speck – Journal of College Student Retention: Research, Theory & Practice, 2024
The importance of close social contacts in the educational process has been widely documented, but mainly for the school sector. The present article examines the importance of close relationships on university students' dropout tendencies. Using longitudinal panel data collected at a medium-sized German university, students (N = 7,169) were…
Descriptors: Foreign Countries, Parent Influence, Peer Influence, Intention
Katrina A. Roxas; April L. Shapiro; Sheri C. Chisholm; Diana L. Niland; Michelle A. House – Journal of American College Health, 2024
Objective: Homesickness among university students may impact their wellbeing and academic success. The study purpose was to examine homesickness and self-reported outcomes/university life events among students on a rural Appalachian campus. Methods: A descriptive study (N = 91) using electronic questionnaires was conducted. Results: Most…
Descriptors: College Students, Universities, Student Attitudes, Adjustment (to Environment)
A Machine Learning-Based Computational System Proposal Aiming at Higher Education Dropout Prediction
Nicoletti, Maria do Carmo; de Oliveira, Osvaldo Luiz – Higher Education Studies, 2020
In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…
Descriptors: Artificial Intelligence, Man Machine Systems, Computation, Prediction
Monllaó Olivé, David; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – Journal of Computing in Higher Education, 2020
Both educational data mining and learning analytics aim to understand learners and optimise learning processes of educational settings like Moodle, a learning management system (LMS). Analytics in an LMS covers many different aspects: finding students at risk of abandoning a course or identifying students with difficulties before the assessments.…
Descriptors: Identification, At Risk Students, Potential Dropouts, Online Courses
Clark, Sheri L.; Dyar, Christina; Inman, Elizabeth M.; Maung, Nina; London, Bonita – International Journal of STEM Education, 2021
Background: Innovation in STEM (science, technology, engineering, and math) fields in the U.S. is threatened by a lack of diversity. Social identity threat research finds messages in the academic environment devalue women and underrepresented groups in STEM, creating a chilly and hostile environment. Research has focused on the mechanisms that…
Descriptors: Females, Self Efficacy, STEM Education, Doctoral Students
Fandrem, Hildegunn; Tvedt, Maren Stabel; Virtanen, Tuomo; Bru, Edvin – Social Psychology of Education: An International Journal, 2021
Dropout from upper secondary education is a persistent educational problem, particularly among first-generation immigrant youth. This study examined factors associated with intentions to dropout to gain further insight into the process of leaving upper secondary education. The analyses of 1299 Norwegian first-year upper secondary school students'…
Descriptors: Intention, Potential Dropouts, Secondary School Students, Immigrants
Larcombe, Wendy; Ryan, Tracii; Baik, Chi – Higher Education Research and Development, 2022
Although high PhD attrition rates are a matter of international concern, the factors that lead doctoral researchers to leave their programmes are not well understood. The present study addresses that issue by exploring factors that prompted thoughts of discontinuing among 1017 PhD researchers (PhDRs) at a public, research-intensive Australian…
Descriptors: Doctoral Students, Academic Persistence, At Risk Students, Student Attrition
Chambers, Silvana; Mayfield, Clifton O.; Valenti, Alix – International Journal of Educational Management, 2023
Purpose: The extant research on student attrition and retention has relied on models that focus on factors over which universities may have limited control and thus not lead to actionable practices. To address this shortcoming, the authors applied organizational support theory (OST) to test the association between students' perceptions of justice,…
Descriptors: College Students, Intention, Potential Dropouts, Dropout Attitudes
Soland, James; Domingue, Benjamin; Lang, David – Teachers College Record, 2020
Background/Context: Early warning indicators (EWI) are often used by states and districts to identify students who are not on track to finish high school, and provide supports/interventions to increase the odds the student will graduate. While EWI are diverse in terms of the academic behaviors they capture, research suggests that indicators like…
Descriptors: Identification, At Risk Students, Potential Dropouts, High School Students
Aomar Ibourk; Soukaina Raoui – Review of Education, 2024
As a specific driver for the transformation of education systems in Morocco, inclusive education is a process that aims to reduce the exclusion of children with disabilities. Indeed, few studies have analysed the exclusion factors that cause children with disabilities not to pursue their education. Based on this, the present paper explores the…
Descriptors: Foreign Countries, Students with Disabilities, Inclusion, Equal Education
Ilyas, Asifa; Zaman, Muhammad Kashif – Asian Association of Open Universities Journal, 2020
Purpose: The high dropout rate among online learning students is a serious issue. Using the theory of planned behavior as a framework, this study investigates what effect attitude, opinion of others and perceived ease of online learning technologies leave on Pakistani online students' persistence intentions. Design/methodology/approach: The sample…
Descriptors: Distance Education, Electronic Learning, College Students, Academic Persistence