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Ong, Adrian; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
People participate in vocational education and training (VET) for a variety of reasons and at different stages of their life. Some undertake VET to gain the vocational skills necessary to enter the labour market for the first time, while others enter in order to upgrade existing skills, learn new ones, or simply for personal interest. Successful…
Descriptors: Qualifications, Vocational Education, Graduation Rate, Performance Factors
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Roland, Nathalie; Mierop, Adrien; Frenay, Mariane; Corneille, Olivier – Frontline Learning Research, 2018
Ajzen and Dasgupta (2015) recently invited complementing Theory of Planned Behavior (TPB) measures with measures borrowed from implicit cognition research. In this study, we examined for the first time such combination, and we did so to predict academic persistence. Specifically, 169 first-year college students answered a TPB questionnaire and…
Descriptors: Academic Persistence, Predictor Variables, Intention, Behavior
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Boateng, Kwasi; Plopper, Bruce L.; Keith, David M. – Journal of College Student Retention: Research, Theory & Practice, 2016
Previous research confirms that first-semester grade-point average (GPA) is related to college student persistence, retention, and graduation. Thus, it is important to identify factors related to enhancing first-semester GPA. In this study, researchers asked faculty and students in the disciplines of journalism, strategic communication or public…
Descriptors: Academic Persistence, Grade Point Average, Life Style, Rating Scales
Westrick, Paul – ACT, Inc., 2017
Building upon the research findings in an earlier ACT Research Report (Westrick, 2016), this study used data from 119,131 students at 26 four-year institutions to make comparisons between STEM majors earning semester GPAs of 3.0 or higher and their STEM peers earning semester GPAs less than 3.0. The results indicate that the higher-performing…
Descriptors: STEM Education, High Achievement, Majors (Students), College Students
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Pittendrigh, Adele; Borkowski, John; Swinford, Steven; Plumb, Carolyn – Journal of General Education, 2016
This study explores the effects of an academic seminar on the persistence of first-year college students, including effects on students most at risk of dropping out. A secondary interest was demonstrating the utility of using classification and regression tree analysis to identify relevant predictors of student persistence. The results of the…
Descriptors: First Year Seminars, Academic Persistence, At Risk Students, Classification
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Crawford, Gregory A. – portal: Libraries and the Academy, 2015
This study analyzed the relationships between variables of institutional expenses, library expenses, and library use and variables representing graduation and retention rates for colleges and universities. Using data drawn from the Integrated Postsecondary Educational Data System and the Academic Library Survey, institutions were compared by their…
Descriptors: Academic Libraries, Academic Persistence, School Holding Power, Graduation Rate
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
Westrick, Paul – ACT, Inc., 2016
Using date from 120,612 students at 26 four-year institutions, this report provides a description of STEM majors entering four-year postsecondary institutions and those who persist through four years of study. The results indicate that persisting STEM majors enter college with very high levels of pre-college academic achievement as measured by the…
Descriptors: STEM Education, Majors (Students), Academic Persistence, College Students
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection