Beyond natives and immigrants: exploring types of net generation students.
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 2...
| Publicado en: | Journal of Computer Assisted Learning Vol. 26; no. 5; pp. 332 - 344 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105012004&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105012004 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Oct2010 vid: 26 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105012004 2010785604 10.1111/j.1365-2729.2010.00371.x 105012004 ppf: 332 ppct: 12 formats: tig: atl: Beyond natives and immigrants: exploring types of net generation students. aug: au: Kennedy G Judd T Dalgarno B Waycott J affil: Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Level 3, 766 Elizabeth Street, Parkville 3010, Australia. Email: gek@unimelb.edu.au sug: subj: Computers and Computerization Utilization Students, College Psychosocial Factors Adolescence Age Factors Australia Chi Square Test Cluster Analysis Colleges and Universities Female Funding Source Human Male Multivariate Analysis of Variance One-Way Analysis of Variance Questionnaires Sex Factors Students, Foreign Time Factors Univariate Statistics Young Adult Adolescent: 13-18 years Female Male ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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