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Carter, Tim – SRATE Journal, 2018
Generation Z, also known as the Homeland Generation, is the most recent generational cohort to enter the university setting. As with other generational cohorts, various shaping factors have impacted this group contributing to its unique and defining characteristics. When carefully considered, these characteristics may provide insight into how to…
Descriptors: Generational Differences, Teaching (Occupation), Cohort Analysis, Student Characteristics
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Raley, R. Kelly; Kim, Yujin; Daniels, Kimberly – Journal of Marriage and Family, 2012
The analyses described in this article investigated the association between adolescent fertility expectations and college enrollment (N = 7,838). They also explored the potential impact of fertility expectations and events on college persistence among 4-year (n = 2,605) and 2-year (n = 1,962) college students. The analysis, which used data from…
Descriptors: Females, Dropouts, Academic Persistence, Enrollment
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Boatright-Horowitz, Su L.; Arruda, Chris – Assessment & Evaluation in Higher Education, 2013
College students' categorical perceptions of numeric and alphabetic grades were examined by assigning participants to one of four conditions: numeric grades alphabetic grades, numeric non-grades and alphabetic non-grades. They were then asked to give ratings for each possible grade or non-grade, using a 10-point scale. Factor analysis revealed…
Descriptors: College Students, Student Attitudes, Likert Scales, Factor Analysis
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National Center for Education Statistics, 2014
The National Center for Education Statistics (NCES), within the U.S. Department of Education (ED), Institute of Education Sciences, is requesting clearance for data collection materials and procedures for the full-scale collection of the 2012/14 Beginning Postsecondary Students Longitudinal Study (BPS:12/14) first follow-up, including the student…
Descriptors: College Students, Postsecondary Education, Longitudinal Studies, Data Collection
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Scully, Glennda; Kerr, Rosemary – Accounting Education, 2014
This study reports the results of a survey of student study times and perceptions of workload in undergraduate and graduate accounting courses at a large Australian public university. The study was in response to student feedback expressing concerns about workload in courses. The presage factors of student workload and assessment in Biggs' 3P…
Descriptors: Curriculum Development, College Students, Student Surveys, Study Habits
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Ololube, Nwachukwu Prince; Kpolovie, Peter James; Amaele, Samuel; Amanchukwu, Rose N.; Briggs, Teinye – International Journal of Information and Communication Technology Education, 2013
It is presumed that Nigerian students and teachers have been unable to find effective ways to use technology in the classroom and other aspects of their teaching and learning. Yet, considerable debate remains over the most efficient techniques and procedures to measure students and faculties information technology and information systems (IT/IS)…
Descriptors: Foreign Countries, Information Technology, Information Systems, Mass Media Use
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Moru, Eunice Kolitsoe; Persens, Jan; Breiteig, Trygve – International Journal of Science and Mathematics Education, 2010
This study investigated a gap that may have existed between students' expectations and perceptions of the 2007 Pre-Entry Science Program (PESP) cohort at the National University of Lesotho and factors that might have influenced these expectations and perceptions. Questionnaires and semi-structured interviews were used for data collection and…
Descriptors: Student Attitudes, Science Programs, Interviews, Effect Size
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Treuren, Gerry; Anderson, Kathryn – Australian Journal of Career Development, 2010
If the existence of Generation Y is a viable explanation of employment behaviour, as is asserted in the burgeoning literature, then people between 18 and 33 (born between 1977 and 1992) will have markedly different approaches to work when compared with Generation X (1962 and 1976) and the Baby Boomers (1946 to 1961). This article reviews the…
Descriptors: Work Environment, Cohort Analysis, Age Differences, Employment Potential