
The process of knowledge transfer
Author(s) -
Helena Kovačič
Publication year - 2008
Publication title -
metodološki zvezki
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.127
H-Index - 7
eISSN - 1854-0031
pISSN - 1854-0023
DOI - 10.51936/tygg7162
Subject(s) - process (computing) , dimension (graph theory) , knowledge transfer , computer science , point (geometry) , knowledge management , transfer of learning , artificial intelligence , mathematics , geometry , pure mathematics , operating system
Learning theory proposes that learning outcomes depend on the characteristics of actors involved in the process. Network theory adds additional dimension to studying learning process. According to several network scholars, relations between learning actors also affect their behaviour and performance. We present a framework for knowledge transfer process that allows a study of how results of a transfer are affected by the characteristics of source and recipient and connections between them. We apply this model to the survey of learning process within two European projects leading to different outcomes of the process. Results of the survey reveal close connection between the two sets of indicators and point to the holistic approach to examining knowledge transfer process.