Knowledge visualization by Doctus Knowledge Galaxy

Baracskai, Zoltán and Velencei, Jolán and Dörfler, Viktor (2005) Knowledge visualization by Doctus Knowledge Galaxy. In: IPS-USA 2005, 2005-07-07 - 2005-07-10.

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Abstract

Making an attempt to develop a curriculum for web-based learning, we have realized that the existing solutions have adopted the traditional content management principles of printed books. By doing so, these solutions do not make use of benefits of a web-based system, namely the multimedia and the interactivity. Our new solution puts these benefits into the focus. Combining the features of semantic networks, cognitive maps and machine learning, we have developed a new generation knowledge visualization tool called Doctus Knowledge Galaxy shell. In our solution the topics and keywords are not in a sequential order, thus enabling the e-learner to choose her/his own learning route. The monitoring system of Doctus Knowledge Galaxy also allow us to observe how much time the learner spends on particular keywords and which next keyword she/he chooses after concluding a previous one by passing the test. The most important achievement of Doctus Knowledge Galaxy is its clear and transparent structure, which enables the learners into fast navigation and provides the developers with useful information about the learning routes and performance of the learner.

ORCID iDs

Baracskai, Zoltán, Velencei, Jolán and Dörfler, Viktor ORCID logoORCID: https://orcid.org/0000-0001-8314-4162;
CORE (COnnecting REpositories)