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Cem Recai Çirak; Hakan Akilli; Yeliz Ekinci – Higher Education Quarterly, 2024
In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…
Descriptors: Program Development, At Risk Students, Identification, College Freshmen
Baneres, David; Rodriguez-Gonzalez, M. Elena; Guerrero-Roldan, Ana Elena – IEEE Transactions on Learning Technologies, 2023
Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…
Descriptors: Prediction, Models, Identification, Potential Dropouts
Shiao, Yi-Tzone; Chen, Cheng-Huan; Wu, Ke-Fei; Chen, Bae-Ling; Chou, Yu-Hui; Wu, Trong-Neng – Smart Learning Environments, 2023
In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…
Descriptors: Foreign Countries, Dropout Prevention, Models, Sustainability
Veronica Ramon – ProQuest LLC, 2023
The intention of this dissertation in practice is to provide structure to a peer-to-peer mentoring program to improve the academic success of students, while building students' engagement and social emotional skills through connections and relationships within the school district. This study is situated in a rural school community with an…
Descriptors: Mentors, Peer Teaching, Rural Schools, Learner Engagement
Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
Davis, Marcia H. – Journal of Education for Students Placed at Risk, 2023
U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…
Descriptors: High Schools, High School Students, Grade 9, Dropout Prevention
D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
Prediction of Students' Early Dropout Based on Their Interaction Logs in Online Learning Environment
Mubarak, Ahmed A.; Cao, Han; Zhang, Weizhen – Interactive Learning Environments, 2022
Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…
Descriptors: Prediction, Dropouts, Interaction, Learning Analytics
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
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…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
Rodríguez, Patricio; Villanueva, Alexis; Dombrovskaia, Lioubov; Valenzuela, Juan Pablo – Education and Information Technologies, 2023
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…
Descriptors: Foreign Countries, Schools, Dropout Prevention, Methods
Grant, Jessica; Yokum, Russell; Holzman, Glenn – Journal of At-Risk Issues, 2020
Based on existing empirical research, schools continue to use single intervention programs for intervening on behalf of at-risk students despite the fact that those programs do not meet with significant success in decreasing dropout rates. The problem is that the phenomenon of multidimensional approaches to intervening on behalf of ninth-grade…
Descriptors: Holistic Approach, Intervention, At Risk Students, High School Students
Nouwen, Ward; Clycq, Noel – European Journal of Psychology of Education, 2021
Tackling early leaving from education and training (ELET) is one of the headline targets for education policy in the European Union. Although ELET rates have been decreasing in most member states, male, socially disadvantaged and immigrant students remain overrepresented in ELET figures. Moreover, students in vocational tracks and students who…
Descriptors: Foreign Countries, At Risk Students, Potential Dropouts, Dropout Prevention
Radovan, Marko – Turkish Online Journal of Distance Education, 2019
Supporters of distance education highlight the many advantages of online learning as compared to face-toface education, such as greater openness, diversity of teaching materials, adjustment to student learning styles, the speed of learning, and more. Despite the advantages, the growing number of programs, and the increased acceptance of distance…
Descriptors: School Holding Power, Models, Distance Education, Electronic Learning