Understanding knowledge-sharing breakdowns: a meeting of the quantitative and qualitative minds.

The rapid advance of distance learning and networking technology has enabled universities and corporations to reach out and educate students across time and space barriers. Although this technology enables structured collaborative learning activities, online groups often do not enjoy the same benefi...

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Publicado en:Journal of Computer Assisted Learning Vol. 20; no. 3; pp. 212 - 224
Autor principal: Soller A
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Jun2004
Acceso en línea:Ver este registro en EBSCOhost
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        10.1111/j.1365-2729.2004.00081.x
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        atl: Understanding knowledge-sharing breakdowns: a meeting of the quantitative and qualitative minds.
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        au: Soller A
        affil: ITC-IRST, Via Sommarive 18, 38050 Povo, Trento, Italy; soller@itc.it
      sug:
        subj:
          Collaboration
          Knowledge
          Education, Non-Traditional
          Communication
          Pretest-Posttest Design
          Human
      ab: The rapid advance of distance learning and networking technology has enabled universities and corporations to reach out and educate students across time and space barriers. Although this technology enables structured collaborative learning activities, online groups often do not enjoy the same benefits as face-to-face learners, and their instructors often do not have time to actively support and mediate the online collaboration. This article demonstrates our capacity to computationally model, analyse, and support online student interaction, in particular knowledge sharing. A unique combination of qualitative analysis and artificial intelligence methods was designed to (a) recognize when students are having trouble learning the new concepts they share with each other, and (b) understand why they are having trouble, so that we might assist an instructor or intelligent coach in mediating group knowledge-sharing activities.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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