Knowledge Tracing Knowledge Measuring SECI Model User-Machine System
Issue Date:
2008
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
The advances in building learning technology now have to emphasize on the aspect of the individual
learning besides the popular focus on the technology per se. Unlike the common research where a great deal has
been on finding ways to build, manage, classify, categorize and search knowledge on the server, there is an
interest in our work to look at the knowledge development at the individual’s learning. We build the technology
that resides behind the knowledge sharing platform where learning and sharing activities of an individual take
place. The system that we built, KFTGA (Knowledge Flow Tracer and Growth Analyzer), demonstrates the
capability of identifying the topics and subjects that an individual is engaged with during the knowledge sharing
session and measuring the knowledge growth of the individual learning on a specific subject on a given time
space.