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Victoria Lindblad; Rolf L. Lund; Pernille Skou Gaardsted; Line Elise Møller Hansen; Fie Falk Lauritzen; Dorte Melgaard – Journal of Adolescence, 2025
Introduction: Youth aged 15-29 who are not engaged in education, employment, or training (NEET) represent a critical concern within the European Union (EU). Aim: This review aims to ascertain whether existing studies address the impact of living in either rural or urban settings, or in specific types of neighborhoods, on the likelihood of young…
Descriptors: Foreign Countries, Youth, Young Adults, Place of Residence
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Maximiliane Marschall; Susanne Falk; Christina Klug – Studies in Higher Education, 2024
Despite the substantial efforts made by higher education institutions to reduce dropout rates, a considerable proportion of students still discontinues their initial study program. In view of this situation, the present study aims to investigate whether participation in first-year courses for personal and academic support goes along with a…
Descriptors: Student Participation, College Freshmen, Dropouts, Foreign Countries
S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
Jingjing Long; Jiaxin Lin – Education and Information Technologies, 2024
English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…
Descriptors: Foreign Countries, English Language Learners, College Students, Mental Health
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
Carlton Lavelle Johnson – ProQuest LLC, 2024
For decades, Black students have been disproportionately disciplined in schools at much higher rates than White students and other student groups. In several Southwest school districts this phenomenon manifests as differential application of disciplinary alternative education program (DAEP) referrals for Black students. Zero tolerance policies and…
Descriptors: Discipline, Nontraditional Education, Student Placement, African American Students
Brinley Poulsen Stringer – ProQuest LLC, 2024
Many interventions are being studied to help combat barriers into STEM fields that contribute to high attrition and low persistence rates (Chen, 2013; Ejiwale, 2013; Ellis et al., 2016). One such intervention is near-peer mentor (NPM) programs, which utilize undergraduate students as academic supports to fellow undergraduate students. Studies have…
Descriptors: Intervention, Mathematics Instruction, Outcomes of Education, Mentors
Flores, Marina Escamilla; Brown, Casey Graham – School Leadership Review, 2019
Each year, 20% of U.S. students drop out of high school (Balfanz, Bridgeland, Bruce, & Fox, 2013). There is an abundance of research on student behaviors from researchers who explored the process of student disengagement from school (Bowers, Sprott, & Taff, 2013; Lessard, Butler-Kisber, Fortin, Marcotte, Potvin, & Royer, 2008), however…
Descriptors: Learner Engagement, High School Students, Nontraditional Education, Nontraditional Students
Kamilah Aqa – ProQuest LLC, 2021
Exclusionary discipline practices such as suspension and the disproportionality that exists among ethnicities have been a topic of interest for researchers for over 30 years. The purpose of this qualitative narrative study was to explore the perceptions of five African American males between the ages of 21-28 years old who have exited school…
Descriptors: African American Students, Males, Young Adults, Dropouts
Thomas, Jeffrey; Dyment, Janet; Hay, Ian – International Journal of Inclusive Education, 2020
This study investigates the change in students' cognitive engagement as a result of participation in a Flexible Learning Programme. Using an understanding of engagement as both a process and a relationship between the students and their school, we sought to determine whether students' perception of competency, willingness to engage, and…
Descriptors: Nontraditional Education, Learner Engagement, Cognitive Processes, Student School Relationship
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
Rosa Oroyan Kissling – ProQuest LLC, 2021
While applying a qualitative phenomenological approach, this study determines the perspectives of college freshmen students with disabilities as to what reasons can make them at high risk for early departure. This study demonstrates that respondents acknowledge the reasons that can make them drop out of college are: performance pressure; stress…
Descriptors: College Freshmen, Students with Disabilities, At Risk Students, Dropouts
Blue, Andrea – ProQuest LLC, 2018
The purpose of this qualitative exploratory study was to explore the strategies needed to increase student retention rates and decrease dropout rates in a higher education organization. The problem addressed in the study was the lack of strategies that managers use to increase retention rates and decrease dropout rates in a higher education…
Descriptors: Mentors, School Holding Power, College Students, Dropout Rate
Gitinabard, Niki; Khoshnevisan, Farzaneh; Lynch, Collin F.; Wang, Elle Yuan – International Educational Data Mining Society, 2018
The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting dropout based upon behavioral features such as student confusion, clickstream patterns, and social interactions. However, few studies have focused on combining student…
Descriptors: Online Courses, Dropouts, Dropout Characteristics, Prediction

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