By Eberhard Blümel, Tina Haase (auth.), Janis Grundspenkis, Marite Kirikova, Yannis Manolopoulos, Leonids Novickis (eds.)
This e-book constitutes the completely refereed past-workshop complaints of the linked Workshops and the Doctoral Consortium held as satellite tv for pc occasions of ADBIS 2009, the thirteenth East eu convention on Advances in Databases and data platforms in Riga, Latvia, in September 2009.
Read or Download Advances in Databases and Information Systems: Associated Workshops and Doctoral Consortium of the 13th East European Conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009. Revised Selected Papers PDF
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Extra info for Advances in Databases and Information Systems: Associated Workshops and Doctoral Consortium of the 13th East European Conference, ADBIS 2009, Riga, Latvia, September 7-10, 2009. Revised Selected Papers
Romanovs et al. Podcasts will be used in the teaching of LIS for distribution among students by audio and video recordings including courses or comments on a study programme. Creation of podcasts is also planned by students themselves, summarising the results of their research in LIS course. 6 Conclusion Recent developments in information technologies and telecommunications facilitate the development of new training and educational methods and tools, as described above. This provides possibilities for organising educational processes not only in the traditional way, but also by means of active learning, combining IT technologies with modern pedagogical approaches.
In order to make transparent the different types and flows of knowledge relevant in engineering education we propose using knowledge requirements monitoring systems that are based on the engineering education ecosystems model. The use of ecosystems paradigm gives an opportunity to J. Grundspenkis et al. ): ADBIS 2009 Workshops, LNCS 5968, pp. 39–46, 2010. © Springer-Verlag Berlin Heidelberg 2010 40 M. Kirikova et al. utilize simultaneously two relevant systems approaches for knowledge requirements analysis: (1) value networks and (2) feedback mechanisms.
J. Grundspenkis et al. ): ADBIS 2009 Workshops, LNCS 5968, pp. 16–22, 2010. © Springer-Verlag Berlin Heidelberg 2010 Agent-Based Simulation Use in Multi-step Training Systems 17 Fig. 1. Multi-step training process based on scenarios generation 2 Training Scenarios Generation ScenarioTR belongs to the set of generated scenarios ScenarioTR ∈ Scenarioi , where i = 1, N , and N – the total amount of gener- Each training ated scenarios. Each scenario consists of the set of training operations (steps) (see Fig.