What happens when an etic category or label like “first-generation students” enters public discourse? In the Netherlands, public discussions of first-generation or first-in-family students and their predicaments have arisen in recent years. But few people grow up thinking of themselves in those terms. Not a common identity-marker, the concept is introduced in other moments, like in news items or in participatory research projects. But to what effect? And does it stigmatize or help?
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The study provides an empirically robust definition of the university student role at the Amsterdam University of Applied Sciences, by identifying the generally tacit demands, the normative behaviors and strategies students should master to be successful as a university student. The study maps the influence of social and cultural capital on the socialization process into the student role.
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In this paper I investigate the differences between the 960 first year students at the department of Media, Information and Communication (MIC) of the University of Applied Sciences Amsterdam (UASA) in their use of new media and their background variables. With statistical test the various variables will be measured and compared with each other in order to give insight in the distribution of the variables among the students and possible relations between new media use and the students’ background. This study is part of a broader PhD research that investigates the relation between aspects of media literacy and students’ success. Therefore, the background variables that had proven to be factors of influence in student success by previous studies were also measured in this study. The use of new media was measured in the same survey amongst the students. The digital questionnaire was part of the career counselling course and mandatory for all students. With the insight of the distribution and relations between the different variables and the use of new media, this study will provide us a better few on the differences between the so-called Internet generation. Especially in the Netherlands, where 98% of all households with children have access to the Internet, a closer look into the differences could provide useful information for future research in digital divide and it’s shift from access to skills and differences in usage of the Internet.
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