Harnessing collective knowledge inherent in tag clouds.
Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to...
| Publicado en: | Journal of Computer Assisted Learning Vol. 29; no. 3; pp. 235 - 248 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2013
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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=104264621&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104264621 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2013 vid: 29 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104264621 86659028 10.1111/j.1365-2729.2012.00491.x 104264621 ppf: 235 ppct: 13 formats: tig: atl: Harnessing collective knowledge inherent in tag clouds. aug: au: Cress, U. Held, C. affil: Knowledge Media Research Center sug: subj: World Wide Web Knowledge Utilization Information Retrieval Methods Abstracting and Indexing Methods Learning Information Seeking Behavior Models, Theoretical Classification Methods Collaboration Memory Mental Processes Videorecording Prospective Studies Analysis of Variance Post Hoc Analysis Adult Female Male Human Adult: 19-44 years Female Male ab: Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags). As between-factor we manipulated whether people had tag clouds available or not. In line with the Information Foraging Theory and with the Co-Evolution Model of individual learning and collective knowledge building, we found that people's prior knowledge and tag clouds influenced their navigation. Tags which were congruent with people's prior knowledge had a higher probability of being selected. A knowledge test showed that participants adapted their individual conceptual knowledge to the collective knowledge. This incidental learning shows that people harness collective knowledge just by navigation with tag clouds. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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