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Kent, Jennifer; Jones, Don; Mundy, Marie-Anne; Isaacson, Carrie – Research in Higher Education Journal, 2017
The purpose of this study was to identify factors leading Hispanic male students in a mid-sized community in South Texas to dropping out of school, and to determine which, if any, of the factors caused the participant to first consider leaving school at an early age. This quantitative study tested academic systems within Tinto's theory of…
Descriptors: Hispanic American Students, Males, High School Students, Dropouts
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Cho, Rosa Minhyo; Choi, Jaesung – International Journal of Behavioral Development, 2017
This study examines the effects of peer victimization by verbal, physical, and relational bullying on Korean adolescents' self-worth, disconnect to peers, school engagement, and academic achievement. A two-year longitudinal survey on 3,266 sixth-graders attending school in Seoul, Korea was used. Multivariate regression results controlling for…
Descriptors: Foreign Countries, Peer Relationship, Bullying, Victims
Ghusson, Martina – ProQuest LLC, 2016
The purpose of this study is to examine whether transfer status and type matter for student engagement and if so, what student characteristics affect this relationship. Data from senior students at four-year institutions across the United States who completed the National Survey for Student Engagement (NSSE) in 2009 were used. Descriptive…
Descriptors: College Transfer Students, Learner Engagement, Student Characteristics, College Seniors
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Hsieh, Tzu-Ling – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
The purpose of this study is to understand predictors of different learning outcomes among various student background characteristics, types of learning motivation and engagement behaviors. 178 junior students were surveyed at a 4-year research university in Taiwan. The scales of motivation, engagement and perceived learning outcomes were adapted…
Descriptors: Foreign Countries, Learning Motivation, Learner Engagement, Prediction
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
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Fink, John E. – Journal of American College Health, 2014
Objective: To explore the predictive factors of student mental health within the college environment. Participants: Students enrolled at 7 unique universities during years 2008 (n = 1,161) and 2009 (n = 1,459). Methods: Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment.…
Descriptors: Predictor Variables, College Students, Mental Health, Student Surveys
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Hu, Shouping; Wolniak, Gregory C. – Review of Higher Education, 2013
Using longitudinal data from the 2001 cohort of applicants to the Gates Millennium Scholars (GMS) program, the authors examined scaled measures of academic and social engagement in relation to labor market earnings to test whether the economic value of student engagement among high-achieving students of color differs by student characteristics.…
Descriptors: Student Characteristics, Learner Engagement, College Students, Labor Market
Young, Darby J. W. – ProQuest LLC, 2012
The purpose of this study was (a) to explore descriptions of students who attended selected religious four-year colleges; (b) to explore relationships between background characteristics and overall college satisfaction and relationships between college experiences and overall college satisfaction; (c) to explore changes over time with respect to…
Descriptors: Religious Education, Church Related Colleges, Student Attitudes, Statistical Analysis
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Trew, Jennifer L.; Nelsen, Jacqueline L. – Learning, Media and Technology, 2012
Audience response systems (ARS) are effective tools for improving learning outcomes and student engagement in large undergraduate classes. However, if students do not accept ARS and do not find them to be useful, ARS may be less effective. Predicting and improving student perceptions of ARS may help to ensure positive outcomes. The present study…
Descriptors: Foreign Countries, Learner Engagement, Student Attitudes, Prediction
O'Dair, Katherine G. – ProQuest LLC, 2012
Master's education is the largest segment of graduate education in the United States yet there is a paucity of research about how master's students experience their programs. Empirical research on student engagement--defined as the time and effort students devote to activities that are linked to educational outcomes and what institutions do to…
Descriptors: Graduate Students, Masters Programs, Statistical Analysis, Learner Engagement