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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
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
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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
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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
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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
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
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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
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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
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
Perkins, Ayanna – ProQuest LLC, 2023
Nationally, teacher candidates struggle to pass the Praxis examination, which they need to be licensed. Little research has been done to examine the characteristics and learning strategies of teacher candidates who pass and who do not pass the Praxis examination. Studies have shown benefits in the use of self-regulation and achievement in courses…
Descriptors: Preservice Teachers, Licensing Examinations (Professions), Teacher Certification, Learning Strategies
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Giulio Marchena Sekli; May Portuguez-Castro – Education and Information Technologies, 2025
This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore…
Descriptors: Entrepreneurship, Success, Artificial Intelligence, Technology Uses in Education
Sonia Muhammad Almwalad – ProQuest LLC, 2023
Problem: Online learning is a form of distance education that occurs via the Internet (Adams, 2004; Carliner, 1999). The success of online learning depends on student-related factors such as acceptance, willingness, and motivation (Almaiah et al., 2019; Almaiah et al., 2020). When online learning systems are not utilized, students cannot realize…
Descriptors: Undergraduate Students, Electronic Learning, Self Management, Achievement Need
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Sami Mejri; Steven Borawski – International Journal on E-Learning, 2023
This article will address predictors of success for online students. A survey questionnaire was used to gather data concerning online students' social and educational readiness levels at a four-year private university in the Midwestern United States. Of the 4,050 potential participants, 250 (6.23%) responded to the survey. Stepwise regression…
Descriptors: Academic Persistence, Success, Online Courses, Readiness
Adesanya, Ibiyemi – ProQuest LLC, 2022
While food insecurity among college students has existed for decades, only in recent years has the focus on the impact of food insecurity on student success emerged. However, most of the research has been quantitative, conducted at public two-year and four-year colleges and focused on predictors, prevalence, and impact of food insecurity among…
Descriptors: College Students, Hunger, Success, Correlation
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Oronzo Mazzeo; Lucia Monacis; Paolo Contini – Turkish Online Journal of Distance Education, 2025
The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from…
Descriptors: Success, Student Satisfaction, Online Courses, College Students
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