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    Wyświetlanie 1-8 z 8
    Tytuł:
    Testing of the acquirement of student’s general educational competence
    Autorzy:
    SOKOLOV, Oleksandr
    MAZORCHUK, Maria
    DOBRIAK, V.
    URBANIAK, Wiesław
    Powiązania:
    https://bibliotekanauki.pl/articles/455102.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Rzeszowski
    Tematy:
    students
    test
    test for the knowledge assessment
    statistical analysis
    education
    Opis:
    According to the Bologna Accords, in recent years the education sector in Ukraine has been undergoing via some changes: Ukraine switched to the multilevel education, many universities introduced the credit-modular system of knowledge, assessment and a successfully implemented distance learning system, based on External Independent Testing (EIT) [http://www.ihep.org/]. Ukraine provides equal access to education. However, despite the positive developments in the field of education, in 2010, only 17% of students received the highest possible score in a test of mathematics, and in 2011, only 7% received 180.5 points and above [Results of social…]. And that is despite the fact that according to the psychometric analysis: 58% test items can be classified as „optimal”. This paper is devoted to investigation of results and search of statistical relationships of indicators in tests of the general competence and knowledge assessment of students, which took place in Ukraine in 2011. A general methodology for finding significant statistical relationships between certain characters is described in the article. We used standard methods of statistical analysis: finding the value of the distribution, the methods of descriptive statistics, one-dimensional analysis of variance. The calculations were carried out with the help of software SPSS. A brief interpretation of test results is given. These results are accompanied by graphics and tables. The study drew conclusions about the level of general education of students in Ukraine in 2011. Objectiveness of test for the knowledge assessment scores is substantiated.
    Źródło:
    Edukacja-Technika-Informatyka; 2013, 4, 1; 435-444
    2080-9069
    Pojawia się w:
    Edukacja-Technika-Informatyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of infrared spectroscopy and artificial neural networks for detection of uropathogenic Escherichia coli strains susceptibility to cephalothin
    Autorzy:
    Lechowicz, Łukasz
    Urbaniak, Mariusz
    Adamus-Białek, Wioletta
    Kaca, Wiesław
    Powiązania:
    https://bibliotekanauki.pl/articles/1039472.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Towarzystwo Biochemiczne
    Tematy:
    infrared spectroscopy
    artificial neural network
    uropathogenic Escherichia coli
    antibiotic resistance
    Opis:
    Background & Aims: Infrared spectroscopy is an increasingly common method for bacterial strains' testing. For the analysis of bacterial IR spectra, advanced mathematical methods such as artificial neural networks must be used. The combination of these two methods has been used previously to analyze taxonomic affiliation of bacteria. The aim of this study was the classification of Escherichia coli strains in terms of susceptibility/resistance to cephalothin on the basis of their infrared spectra. The infrared spectra of 109 uropathogenic E. coli strains were measured. These data are used for classification of E. coli strains by using designed artificial neural networks. Results: The most efficient artificial neural networks classify the E. coli sensitive/resistant strains with an error of 5%. Conclusions: Bacteria can be classified in terms of their antibiotic susceptibility by using infrared spectroscopy and artificial neural networks.
    Źródło:
    Acta Biochimica Polonica; 2013, 60, 4; 713-718
    0001-527X
    Pojawia się w:
    Acta Biochimica Polonica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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