Abstract
Tacit Knowledge is one of the potential assets in developing community-based learning. A problem often encountered is the difficulty in formalizing and articulating the knowledge, and for this reason, a media is required to extract into an easily translated form. This study focuses on explicit forms of knowledge, and as a result, the method employed is the collection of research findings related to tacit knowledge and community learning. Also, these findings were surveyed based on predetermined keywords and analysed into a complete report which can be used as material for decision making especially in the matter of sharing this knowledge in community-based learning. The purpose of this study was to determine the understanding of measuring this knowledge in terms of existing dimensions, such as technical and cognitive. However, in this case, the conditions and processes help inform about tacit with reference to the Community. The survey activity is still limited to its conceptual measurement and has not yet led to implementation in the form of community learning where members can interact directly using text, images, videos and other forms. In addition to using two dimensions of measurement, knowledge can be shared through socialization, externalization, combination and internalization that refer to the Nonaka and Ba models for learning to provide a sense of fun for the community group.
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Winanti, Gaol, F.L., Kosala, R., Supangkat, S.H., Ranti, B. (2020). A Survey of Tacit Knowledge in Community Learning Based on Measurement Dimensions. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_14
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