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Susan Marino – ProQuest LLC, 2021
Charter schools have existed in the United States for thirty years, with mixed results. Research has largely focused on charter school failure and an analysis of what led to the demise. This study aimed to understand characteristics predicting charter school success, alongside those predicting failure. Specifically, it focused on a charter…
Descriptors: Charter Schools, Institutional Characteristics, Community Characteristics, Predictor Variables
R. Ikuenobe Osolease – ProQuest LLC, 2021
The purpose of this study is to identify the best model that explains the relationship between conflicting risk structures and decision quality. Using confirmatory factor analysis and hierarchical regression techniques as statistical methods, the author confirmed that changes in the conflicting risk structures correlated with changes in decision…
Descriptors: Computer Security, Information Security, Risk Management, Risk
Cheryl Somers; Carla Kevern; E. Whitney G. Moore; Erin E. Centeio; Noel Kulik; Bridget Piotter; Alex Garn; Nate McCaughtry – Journal of School Health, 2024
Background: Eating patterns such as breakfast consumption and fruit and vegetable intake have been associated with academic achievement and cognitive function. Method: The purpose of this study was to learn more about psychological (emotion-driven eating) and behavioral (over-eating) eating patterns and motives, and the roles of body image,…
Descriptors: Eating Habits, Psychological Patterns, Emotional Response, Behavior Problems
Miriam Schiff; Ruth Pat-Horenczyk; Rami Benbenishty – Journal of American College Health, 2024
Objective: This study examined students' perceived levels of coping and need for help, and the relationship with their risks and protective factors during the early stages of the COVID-19 pandemic in Israel. Participants: A sample of 4,710 university students responded anonymously to an online questionnaire. Methods: The risk and protective…
Descriptors: College Students, Coping, COVID-19, Pandemics
Kai Wang; Ching-Sing Chai; Jyh-Chong Liang; Guoyuan Sang – Technology, Pedagogy and Education, 2024
As artificial intelligence (AI) advances rapidly, it has been incorporated into formal education to facilitate subject-based learning. Integration of AI technologies to support learning requires teachers to intentionally design AI-assisted learning. However, there have been a limited number of empirical studies investigating teachers' behavioural…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Peter Njunge Mwangi; Ciriaka Muriithi Gitonga; Samuel Nduati Kariuki – Education 3-13, 2024
This study critically investigates the social economic predictors of parental involvement in rural schools in Kenya and its implications on teaching and learning. Education is a major foundation for socioeconomic growth and the provision of quality education. However, teaching and learning are affected by various socioeconomic factors that this…
Descriptors: Foreign Countries, Predictor Variables, Parent Participation, Rural Schools
Carol A. Mullen; Robert J. Nitowski – International Journal of Educational Reform, 2024
Dropout is a global crisis and an affliction in the United States. This study analyzes graduation rates based on prior academic achievement, attendance, and behavior at an urban American high school in Virginia over 4 years to identify who is (not) graduating and why. Using a correlational, nonexperimental design, four cohorts of graduates were…
Descriptors: Dropouts, High School Students, Graduation Rate, Academic Achievement
Brynn L. Munro; Juliann Sergi McBrayer; Antonio P. Gutierrez de Blume; Pamela Wells – Georgia Journal of College Student Affairs, 2024
Currently, roughly one-third of college students fit the federal government's definition of first-generation college student status, meaning neither parent has earned a baccalaureate degree (RTI International, 2023). This study utilized archival data at an access institution in the southeastern United States in a causal-comparative study using…
Descriptors: Predictor Variables, School Holding Power, Academic Achievement, Graduation Rate
Kang Ma; Abubakar Bello; Jingjing Dong; Muhammad Chutiyami – Distance Education, 2024
Blended teaching (BT) in pre-service teacher (PST) education has significantly increased, particularly owing to the impact of COVID-19. However, there is limited literature on how pre-service teachers (PSTs) adjust to this mode of teaching. This study provides new longitudinal evidence on the adaptability of PSTs (n = 1285) and its predictors,…
Descriptors: Preservice Teachers, Blended Learning, Adjustment (to Environment), Predictor Variables
Olivia Salzman – ProQuest LLC, 2024
Currently, career movement in the field of teaching, both for migration and attrition reasons, is a national concern for stakeholders, teachers, and researchers alike. Teacher demographics, job attributes, and expectations for working conditions seem to affect attritional intentions amongst teachers, but there is a need in the field for research…
Descriptors: Music Teachers, Music Education, Faculty Mobility, Teacher Persistence
Tanya Renn; Taylor Dowdy-Hazlett; Christopher Collins; Michael Killian; Deena Alani – School Mental Health, 2024
Traumatic events are becoming more prevalent in youth, especially considering the increase in disaster exposure, impacting the wellbeing and mental health of youth. Youth in rural communities are more adversely impacted due to a lack of access to available support and services. Interventions geared toward treating traumatic stress are needed for…
Descriptors: Cognitive Restructuring, Behavior Modification, Rural Areas, Intervention
Karen Gross – ProQuest LLC, 2024
For school districts to adequately prepare students with disabilities for successful post-graduation life, it is essential to understand if various variables predict postsecondary outcomes. The purpose of this study is to examine the relationship between gender, race/ethnicity, participation in career technical education (CTE) programs, diploma…
Descriptors: Students with Disabilities, Predictor Variables, Gender Differences, Racial Differences
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
Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming

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