Peer-based computer-supported knowledge refinement: An empirical investigation

Kwangsu Cho, Tingting Rachel Chung, William R. King, Christian Schunn

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

Nonexpert peer-based knowledge refinement is as much helpful as expert-centric knowledge refinement for improving the quality of results. A computer-support system is helpful for facilitating peer-based knowledge refinement, since more peers than experts are required for peer-based refinement to be effective. An experimental study was conducted, which allowed to observe the relative impact of experts versus peers on the quality of codified knowledge intended for use by nonexperts. Quality improvement in technical reports refined by feedback from a subject-matter expert, a nonexpert peer, or multiple nonexpert peers was compared. Individual participants wrote and revised drafts that fulfilled the requirements of the course. The expert and nonexpert reviewers assessed the drafts on the three evaluation dimensions, including flow, logic and insight. The result revealed that flow in multiple peers was significantly better than in single peer, but the logic was same in all conditions.

Original languageEnglish
Pages (from-to)83-88
Number of pages6
JournalCommunications of the ACM
Volume51
Issue number3
DOIs
Publication statusPublished - 2008 Mar 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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