Advances in Databases and Information Systems: Associated by Janis Grundspenkis, Marite Kirikova, Yannis Manolopoulos,

By Janis Grundspenkis, Marite Kirikova, Yannis Manolopoulos, Leonids Novickis

This e-book constitutes the completely refereed past-workshop lawsuits 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 knowledge platforms in Riga, Latvia, in September 2009.

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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, Lativia, September 7-10, 2009. Revised Selected Papers

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Springer-Verlag Berlin Heidelberg 2010 24 A. Romanovs et al. The LIS course consists basically of postgraduate students having an average age of 22-24. Almost 90% of LIS students are employed either in private companies or in government organisations, which makes them to be in extremely high demanded for qualitative learning and teaching processes. Most of the students work in the IT field, which gives them deeper professional skills. For that reason, lecturers need to be able to adjust course material to suit students experience and prior knowledge.

The overlay model of a learner”s knowledge is represented as a set of pairs “concept – value” for every domain concept and serves to implement adaptation technologies. Integration of learner”s psychophysiological state controlling module into e-learning environment allows to support adaptive learning process in more flexible way. That means the approach allows improving efficiency of the existent computer-based tutoring systems getting not only positive didactic, but also essential economic effect.

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. 1) { Scenarioi = Opij involved in } , where j = 1, K , and K – the total amount of operations Scenarioi .

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