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Roger Sheng So – ProQuest LLC, 2024
Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…
Descriptors: Learning Management Systems, Data Use, At Risk Students, Learner Engagement
Lara-Cabrera, Raul; Ortega, Fernando; Talavera, Edgar; Lopez-Fernandez, Daniel – IEEE Transactions on Education, 2023
Students' perception of excessive difficulty in STEM degrees lowers their motivation and, therefore, affects their performance. According to prior research, the use of gamification techniques promote engagement, motivation, and fun when learning. Badges, which are a distinction that is given as a reward to students, are a well-known gamification…
Descriptors: STEM Education, Rewards, Gamification, Technology Uses in Education
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
Hank S. Bohanon; Meng-Jia Wu; Ali Kushki; Cheyne LeVesseur – Australasian Journal of Special and Inclusive Education, 2024
Schools have an increased focus on implementing schoolwide initiatives (e.g., multi-tiered systems of support; MTSS) to address risk factors related to dropping out. These interventions can involve multiple domains, including academic, behavioural, and social and emotional supports. Although researchers suggest that schoolwide interventions are…
Descriptors: High Schools, Educational Change, Multi Tiered Systems of Support, Academic Achievement
Messerer, Laura A. S.; Karst, Karina; Janke, Stefan – Studies in Higher Education, 2023
Student dropout is a frequent phenomenon in higher education institutions that entails high costs for individuals, institutions, and society as a whole. Thus, it is crucial to identify protective factors regarding dropout in cases in which it could have been prevented. In line with Person-Environment Fit Theory, we assume that intrinsic motivation…
Descriptors: College Students, Enrollment Influences, Enrollment, Motivation
Rose, Aaron J., Sr. – ProQuest LLC, 2023
The problem addressed in this study is that, in a rural Title I public school in the Northeastern United States, administrators have struggled to implement leadership strategies to support the reduction of student discipline issues in the classroom. The purpose of the study was to investigate how administrators implement leadership strategies that…
Descriptors: Leadership Styles, Administrator Role, Student Behavior, Discipline Problems
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
Dueggeli, Albert; Kassis, Maria; Kassis, Wassilis – Education Sciences, 2021
Young male migrants, in particular, are at higher risk of not completing upper secondary education and do not have the same opportunities to put their educational resources to use in existing educational contexts. This work examines how socially and structurally disadvantaged male adolescents (migration biography and low SES) can be supported in…
Descriptors: Secondary School Students, Risk, Resilience (Psychology), Dropout Prevention
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Schmidt, Taylor – BU Journal of Graduate Studies in Education, 2021
Earning a high school diploma is a valuable achievement, but it is a challenging goal to achieve for a growing number of at-risk youths. It has become clear how important high school graduation is to the individuals and the community where they live when considering the consequences of graduating versus dropping out. The steps needed to achieve…
Descriptors: High School Students, Graduation Rate, Predictor Variables, At Risk Students
Nesterowicz, Krzysztof; Bayramova, Ulkar; Fereshtehnejad, Seyed-Mohammad; Scarlat, Ana; Ash, Anthony; Augustyn, Anna Maria; Szádeczky, Tamás – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) aim at unlimited participation and open access via the web. There are concerns about the actual value of such courses. This is predominantly due to higher dropout rates. According to studies, only 7-13% go on to complete these courses. The high dropout rate in MOOCs is a challenge for education providers. This…
Descriptors: Game Based Learning, Online Courses, Dropout Rate, Dropout Prevention
Sood, Sakshi; Saini, Munish – Education and Information Technologies, 2021
For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…
Descriptors: Multivariate Analysis, Artificial Intelligence, Academic Achievement, Prediction
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
Raymond Francis Albin – ProQuest LLC, 2022
The transition period of a student from middle school to high school is of critical importance because students who can successfully navigate the first-year physical, academic, and social pressures of high school have the greatest chances for successfully completing high school in four years (Allensworth & Easton, 2005). Students who cannot…
Descriptors: Transitional Programs, Barriers, Intervention, Dropout Prevention
Bozick, Robert; Mulhern, Christine – RAND Corporation, 2023
This Perspective builds on a related RAND Corporation report that describes the implementation of Findhelp at four North Carolina community colleges in 2021 and 2022. Findhelp is an online tool to connect students to resources in their communities to help meet their basic nonacademic needs. The North Carolina Community College System, with support…
Descriptors: College Students, Student Needs, Community Resources, Community College Students