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Charles O. Ogbaekirigwe; Ifeoma M.B. Ubah; Amarachi Salome Azubuike; Udodirim Angela Igwe; Ugochukwu Chinonso Okolie – Education & Training, 2025
Purpose: This study examines how and whether expectancy for success and task values influence students' persistence in work placement learning tasks (persistence). Also, it examines the mediating role of task values in the expectancy for success and students' persistence nexus. Design/methodology/approach: This is a two-study finding. In Study 1,…
Descriptors: Student Motivation, Predictor Variables, Academic Persistence, Job Placement
Chih-Hung Wang; Fu-Yuan Hong; Tzu-Yuan Hsu – Psychology in the Schools, 2025
Previous studies have explored the relationship between students' school stress and resilience but have largely overlooked the relationship between students' daily academic hassles and buoyancy. Although the close relationship between academic buoyancy and achievement has been confirmed, using the academic buoyancy perspective to explain the…
Descriptors: Foreign Countries, Stress Variables, Barriers, Mental Health
Xiuyuan Zhang; Brandon A. Carrillo; Ariana Christakis; Julia A. Leonard – Child Development, 2025
Learning takes time: Performance usually starts poorly and improves with practice. Do children intuit this basic phenomenon of skill learning? In preregistered Experiment 1 (n = 125; 54% female; 48% White; collected 2022-2023), US 7- to 8-year-old children predicted improved performance, 5- to 6-year-old children predicted flat performance, and…
Descriptors: Young Children, Child Development, Skill Development, Predictor Variables
Crystal N. Randolph – ProQuest LLC, 2024
As the enrollment cliff of 2025 looms closer, colleges and universities are compelled to explore alternative student populations to counteract the substantial decline in traditional-age college students. Transfer students emerge as a promising demographic to help sustain enrollment numbers and financial stability for colleges and universities.…
Descriptors: College Students, Transfer Students, Predictor Variables, Success
Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Elena C. Papanastasiou; Michalis P. Michaelides – Large-scale Assessments in Education, 2024
Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees' test-taking processes,…
Descriptors: Grade 4, Testing, Student Behavior, Test Wiseness
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – AERA Open, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Azman Sabet – ProQuest LLC, 2024
Objective: Accelerated Second-Degree (ASD) programs play a crucial role in addressing the nursing shortage. However, when ASD students drop out, it negatively impacts all involved parties. Despite facing similar challenges as adult learners, some ASD students successfully graduate while others do not. By comparing and contrasting these two groups,…
Descriptors: At Risk Students, Nursing Students, Acceleration (Education), Academic Degrees
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – Grantee Submission, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Leithwood, Kenneth; Sun, Jingping; Schumacker, Randall; Hua, Cheng – Journal of Educational Administration, 2023
Purpose: This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework. Design/methodology/approach: Using data collected from 1,401 teachers the study examined the instrument's measurement…
Descriptors: Psychometrics, Leadership Effectiveness, Success, Test Construction
Smith, Melton Dale – ProQuest LLC, 2023
This study analyzed admission practices at four-year universities in the United States to determine whether a relationship exists between the score of an individual component of the admission practice and completion of radiologic technology programs. Attrition is a major concern for higher education as funding for higher education continues to…
Descriptors: Allied Health Occupations Education, Radiology, College Admission, Admission Criteria
Oscar Espinoza; Luis Eduardo González; Luis Sandoval; Noel McGinn; Bruno Corradi – Research Papers in Education, 2024
In Chile many university students do not persist to graduation. Some students dropped out in the first year, others later. The objective of this study, based on students admitted to but not graduating from selective universities, was to identify factors associated with their academic success and length of persistence before withdrawal. The 707…
Descriptors: Academic Persistence, Selective Admission, Foreign Countries, Academic Achievement
Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
Qin Tong – European Journal of Education, 2025
Elevated stress levels among teachers are linked to both physical and mental health issues, which in turn affect their job performance. In addition, teachers' ability to regulate emotions influences their instructional effectiveness and well-being. Moreover, psychological well-being is crucial for teachers' satisfaction and success, influenced by…
Descriptors: Emotional Response, Self Control, Mental Health, Well Being
Harry T. Ingle Jr. – ProQuest LLC, 2023
The purpose of this quantitative study was to identify the characteristics of students who persisted in a STEM major and examine differences in the aggregate College Persistence Questionnaire (CPQ) scores of enrolled College of Engineering students by enrollment classification (sophomore students compared to senior students), and type of high…
Descriptors: Predictor Variables, Academic Achievement, Success, STEM Education