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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
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Jorge López González; Jesús Manuel Martínez; Maven Lomboy; Luis Expósito – Cogent Education, 2024
This article examines the relationship between emotional intelligence and ethical leadership competencies among university students. The research hypothesis was that emotional intelligence correlates positively with the exercise of good leadership. To this aim, a study was carried out with 1101 university students from Chile, Mexico and Spain who…
Descriptors: Emotional Intelligence, Leadership Qualities, Competence, College Students
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Yuejia Li; Min Dong; Wenhui Li – Psychology in the Schools, 2025
Teacher job satisfaction is an important research element in teacher education and educational research. Based on data from the China Education Tracking Survey, this study analyzes the factors that influence the job satisfaction of 690 junior high school teachers and further constructs a prediction model. The study shows that gender, burnout,…
Descriptors: Junior High School Teachers, Job Satisfaction, Prediction, Models
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Clements, Douglas H.; Sarama, Julie; Layzer, Carolyn; Unlu, Fatih – Journal for Research in Mathematics Education, 2023
A follow-up of a cluster-randomized trial evaluated the long-term impacts of a scale-up model composed of 10 research-based guidelines grounded in learning trajectories. Two treatment groups received the intervention during the prekindergarten year, and one of these groups received follow-through support in kindergarten and first grade.…
Descriptors: Models, Early Intervention, Mathematics Achievement, Age Differences
Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – Grantee Submission, 2021
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
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Yasmin – Asian Journal of Distance Education, 2024
The paper explores and assesses, through quantitative research and data analytics models, as to how socio-demographic profile, work, and family responsibilities may be associated with motivational level and educational attainment or course completion rate of learners enrolled in the undergraduate courses of Indira Gandhi National Open University…
Descriptors: Student Characteristics, Profiles, Student Motivation, Academic Achievement
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Eugene, Danielle R. – Journal of Education for Students Placed at Risk, 2020
This multilevel study examined the effects of socioeconomic status (SES) and student perceptions of school climate on academic achievement at the student and school levels. Data used were from the Education Longitudinal Study of 2002. The sample included 9,518 students enrolled in 584 public high schools. The results revealed that student-level…
Descriptors: Models, Educational Environment, Socioeconomic Status, Student Attitudes
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Sharon Wolf; Autumn Brown – Online Submission, 2023
Bringing together research from several lines of inquiry in psychology and education, this paper proposes a conceptual model for understanding how entrenched inequalities embedded within ecological macrosystems play out in the classroom to affect student learning. We consider how implicit teacher beliefs and belief expression affect…
Descriptors: Social Differences, Systems Approach, Teacher Attitudes, Models
Whitlock, Joshua Lee – ProQuest LLC, 2018
The purpose of this study was to discover factors about first-time freshmen that began at one of the six 4-year universities in the former Tennessee Board of Regents (TBR) system, transferred to any other institution after their first year, and graduated with a degree or certificate. These factors would be used with predictive models to identify…
Descriptors: College Freshmen, College Transfer Students, College Graduates, Student Characteristics
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Reinke, Wendy M.; Herman, Keith C.; Thompson, Aaron; Copeland, Christa; McCall, Chynna S.; Holmes, Shannon; Owens, Sarah A. – School Psychology Review, 2020
Many youth experience mental health problems. Schools are an ideal setting to identify, prevent, and intervene in these problems. The purpose of this study was to investigate patterns of student social, emotional, and behavioral risk over time among a community sample of 3rd through 12th grade students and the association of these risk patterns…
Descriptors: Mental Disorders, Models, Mental Health, Prevention
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Patterson, M. S.; Prochnow, T.; Nelon, J. L.; Spadine, M. N.; Brown, S. E.; Lanning, B. A. – Journal of American College Health, 2022
Objective: To use egocentric network analysis to understand how composition and structure of egonetworks relate to violence victimization among college students. Participants: 697 students from a large southeastern university completed online surveys. Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric…
Descriptors: Violence, Victims, College Students, Student Attitudes
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Psyridou, Maria; Tolvanen, Asko; Patel, Priyanka; Khanolainen, Daria; Lerkkanen, Marja-Kristiina; Poikkeus, Anna-Maija; Torppa, Minna – Scientific Studies of Reading, 2023
Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…
Descriptors: Reading Difficulties, Networks, Artificial Intelligence, Predictor Variables
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Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Arce, Alma Lorenia – ProQuest LLC, 2017
Non-traditional students have become a growing component of the student population in today's college systems. Research has shown that non-traditional students are less likely to achieve academically and complete their degree programs compared to traditional students. The purpose of this quantitative, correlational study was to investigate the…
Descriptors: Undergraduate Students, Student Motivation, Nontraditional Students, Prediction
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Dilek, Harun; Akbas, Ufuk – International Journal of Assessment Tools in Education, 2022
The purpose of this study is to develop Education Value Perception Scale (EVPS) based on Bronfenbrenner's Ecological Theory and to investigate its psychometric properties according to Classical Test Theory (CTT) and Item Response Theory (IRT). The data were collected from 2872 secondary school students by stratified purposeful sampling method.…
Descriptors: Item Response Theory, Psychometrics, Systems Approach, Measures (Individuals)
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