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Stav a výhledy českého pedagogického výzkumu

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EN
The aim of the review study is to evaluate the current state of Czech educational research and to offer possibilities of its further development. The paper has three parts. In the first part, the author presents the context of the topic: the current changes in the financing of research and development in the Czech Republic; the avoiding of the term (social) science is discussed along with the issue of institutional financing of research and the various presently up-to-date methodologies of quality assessment in research. In the second part, the author analyses the current state of Czech educational research – previous analyses of J. Průcha, J. Mareš and E. Walterová and those carried out by the Educational Research Centre are briefly summarised. In the third part, possibilities of further development of Czech educational research are offered. Developing a knowledge base of educational sciences is used as an example. First the nature and subject of knowledge that is produced by research is analysed, then the difference between pedagogical research and research in education is discussed. Towards the end, relevant approaches are discussed along with research areas and types of knowledge acquired by research.
PL
Sprawne zarządzanie wiedzą pozwala uniknąć ponownego poszukiwania rozwiązań problemów, które już wcześniej zostały rozwiązane. Dlatego też wiedzę należy przechowywać w bazach wiedzy, które obecnie są najczęściej konstruowane w postaci ontologicznej. Istotnymi zagadnieniami, związanymi z budową baz wiedzy, są: dobór języka reprezentacji wiedzy, metodyki budowy bazy oraz wybór narzędzia wspierającego taką budowę, tj. edytora ontologii. Celem artykułu jest dobór edytora ontologii w oparciu o metody wielokryterialnej analizy decyzyjnej. Zastosowanie znalazły tutaj metody: wydzielania dla minimalnej wartości atrybutu oraz Fuzzy TOPSIS. W artykule rozpatrzono 8 współczesnych edytorów ontologii. W efekcie zastosowania dwuiteracyjnej procedury wielokryterialnej wskazano edytor Protege jako ten, który charakteryzuje się optymalnym poziomem poszczególnych cech, niezbędnych w tego rodzaju oprogramowaniu.
EN
Efficient knowledge management allows to avoid of re-seeking solutions to the problems that have already been resolved. Therefore, knowledge should be stored in knowledge bases which are currently often developed in the ontological form. The most important issues, related to the construction of knowledge bases, are: the selection of knowledge representation language, the selection of methodology of the knowledge base construction, and the selection of the ontology processor to support of the development such a structure. The paper presents, based on multi-criteria decision analysis methods, the procedure of the ontology processor selection, based on the characteristics of this type of tools. Selection was conducted with the use of the Conjunctive (Satisficing) and the Fuzzy TOPSIS methods. As a result of the multi-criterial procedure, the processor with optimum level of individual characteristics necessary in this type of software has been indicated.
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