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Kalaivanan, Tharuna; Krietzberg, Lily; Silver, Blake R.; Kwan, Bianca – Journal of Women and Gender in Higher Education, 2022
Research documents persistent gender inequality in the educational experiences of second-generation immigrant (SGI) students whose parents immigrated to the United States. This qualitative study draws from 27 in-depth interviews to explore the experiences of SGI women as they navigate the senior-year transition in conversation with their parents.…
Descriptors: Immigrants, Student Experience, Generational Differences, Females
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Hosek, Angela M.; Titsworth, Scott – Communication Education, 2016
Millennial students are immersed in a digital world governed by codes and scripts. Coders create programs from scratch. We interact with code when we launch most programs like Microsoft Word or a web browser. Alternatively, scripting uses programing environments (or middleware) in which combinations of stock commands are used. Many applications…
Descriptors: Student Experience, Generational Differences, Student Characteristics, Creative Development
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McAllum, Kirstie – Communication Education, 2016
Millennial students often exhibit symptoms of imposter syndrome or a deep-seated insecurity that one is not sufficiently capable of carrying out the task at hand, often masking their anxiety of being exposed as intellectual frauds through what Pedler (2011) calls "over-compensating" or "fronting it out" (p. 90). Millennial…
Descriptors: Teaching Models, Educational Practices, Educational Strategies, Generational Differences
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Buckner, Marjorie M.; Strawser, Michael G. – Communication Education, 2016
As opposed to the "place where you were forced to consider new ideas, to meet new people, to ask new questions, and to learn to think, to socialize, to imagine" (Fitzgerald, 2012, p. 20), millennial students view college as a financial rather than philosophical training ground (Berrett, 2015). Unfortunately, this perspective…
Descriptors: Higher Education, Generational Differences, Student Characteristics, Student Responsibility
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Bondy, Jennifer M.; Peguero, Anthony A.; Johnson, Brent E. – Education and Urban Society, 2017
Academic self-efficacy reflects an adolescent's level of confidence or belief that she or he can successfully accomplish educational assignments and tasks, which are also argued to be a fundamental factor in educational progress and success. Little is known, however, about the academic self-efficacy that the children of immigrants have, which is…
Descriptors: Self Efficacy, Gender Differences, Racial Differences, Ethnicity
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Suh, Emily – AERA Online Paper Repository, 2016
Unlike Generation 1.5 or adolescent ESL students, Generation 1 students do not attend U.S. K-12 English as a Second Language (ESL) and often lack linguistic capital necessary for college success, thereby stalling their pursuit of the American Dream. This qualitative research examines a previously understudied group's transition from ESL.…
Descriptors: Generational Differences, English (Second Language), College Readiness, Adult Students
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Hu, Shouping; Katherine, Lindsey; Kuh, George D. – New Directions for Institutional Research, 2011
One way to understand the college student experience is the generational approach, which examines the characteristics and attitudes of cohorts across different periods in history. Terms such as "baby boomers," "generation X," and "millennials" convey powerful images that characterize different generations according to who they are and what they…
Descriptors: College Students, Student Experience, Cohort Analysis, Time Perspective
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Donnison, Sharn – Australian Journal of Teacher Education, 2007
This paper is about the millennial generation. Much has been written about the generation: their character; beliefs; motivations; values; and future potentialities. This literature has gained momentum as marketers, employers, and educators seek to understand the generation as they come of age and enter into positions of social responsibility. The…
Descriptors: Foreign Countries, Generational Differences, Student Characteristics, Cohort Analysis