Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (1): 77-81.

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Explicit Representation and Structure of Tacit Knowledge Based on Data Mining

ZUO Xin1, LI Xiao-lin2, LIAN Wei1, WANG Li-min3   

  1. 1. School of Foreign Languages,Changchun University of Technology,Changchun Jilin 130012,China;
    2. School of Management,Nanjing University,Nanjing Jiangsu 210093,China;
    3. College of Computer Science and Technology,Jilin University,Changchun Jilin 130012,China
  • Received:2009-12-20 Online:2010-03-20 Published:2023-02-07

Abstract: Association rules are one of the new reserch methodsfor statistical data analysis of English corpus.Based on analysis of English teachers' oral corpus,association rules are applied to study cognitive process of teachers' explicit representation of tacit knowledge and students' tacit knowledge structure fromthe viewpoints of mother tongue,questions,and directive words respectively.Thestatistical experimental results prove its effectiveness and feasibility.

Key words: association rules, tacit konwledge, oral corpus, knowledge structure

CLC Number: 

  • TP181
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