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Bjorn Behrendt

GW Podcast Episode 9: Multiple User Snyc for Chrome - 31 views

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    This week they are talking about having multiple users being able to log into chrome at once. This is not the "sign-on as a different user" setting in Google Apps, but rather being able to have a second set of bookmarks, formdata, theme and more by signing in as a second user into chrome.
Florence Dujardin

Cyberkids or divided generations? Characterising young people's internet use in the UK ... - 0 views

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    Young people are often characterised as cyberkids in reference to an assumed intense engagement and natural affinity with the internet. This article critiques the empirical basis for such claims and explores two alternative perspectives: namely, continua of use and typologies of use. Using UK data on 12-15 year old home internet users, a series of descriptive and latent class analyses of young people's internet use is presented. Results show there is little support for cyberkid characterisations and a proposed continuum of use is also shown to not fit the data. A three-way typology of use is instead presented which suggests a third of young home internet users make only limited use of the internet and the remaining two-thirds diverge into informational and creational/communicative users. These findings are used to argue that Mannheim's notion of generational units may be a useful way to characterise young people's internet use.
Florence Dujardin

Beyond natives and immigrants: exploring types of net generation students - Kennedy - 2... - 33 views

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    Abstract: Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three Australian universities to a cluster analysis. Through this analysis, we identified four distinct types of technology users: power users (14% of sample), ordinary users (27%), irregular users (14%) and basic users (45%). A series of exploratory chi-square analyses revealed significant associations between the different types of technology users and the university that students attended, their gender and age and whether the student was local or international. No associations were found for analyses related discipline area, socio-economic status or rurality of residence. The findings are discussed in light of the rhetoric associated with commentaries about the Net Generation, and suggestions about their implications for teaching and learning in universities are offered.
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