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    Wyświetlanie 1-4 z 4
    Tytuł:
    Using BBC Learning English Podcasts to develop university students listening skills
    Autorzy:
    Davydenko, Olena
    Powiązania:
    https://bibliotekanauki.pl/articles/1927548.pdf
    Data publikacji:
    2021-12-22
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    podcast
    taxonomy
    listening comprehension
    bottom-up processing
    top-down processing
    prior knowledge
    background information
    Opis:
    The emergence of podcasts in an English foreign language (EFL) setting is seen as a helpful aid to foreign language learning. Using podcasts might help improve language learning efficiency. This research addresses how podcasts can be an alternative means of improving English listening comprehension for university students. The study was carried out at Nizhyn Gogol State University, Ukraine, using quantitative and qualitative methods of analyzing data. To collect the data, research tools such as a questionnaire, initial and final testing, and observation were used. The procedure was introduced for a group of first-year students and implemented for six weeks. Special BBC Learning English podcast activities were designed and offered to the students. The main stages have been specified in the process of developing students’ listening skills. In the pre-listening stage, students do preparation activities to prepare for the podcast using their background knowledge. The while-listening stage is aimed at listening for gist, listening for details, making inferences, and summarizing. In the post-listening stage, the listeners are taken beyond the podcast content and set tasks which contribute to integrating other language skills. Samples of activities which correspond to these three stages are provided. A balanced approach to choosing top-down or bottom-up processing within the stages improves the process of forming competencies in listening of first-year students. Hence, based on the positive results of this study, BBC Learning English podcasts with meaningful, appropriate, and interesting activities attract the students’ attention, increase their motivation, and improve their listening comprehension.
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2021, 92, 5; 26-35
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Beyond instructed L2 grammar acquisition: Theoretical insights and pedagogical considerations about the role of prior language knowledge
    Autorzy:
    Angelovska, Tanja
    Powiązania:
    https://bibliotekanauki.pl/articles/780551.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    prior language knowledge
    input
    practice
    output
    enhancement
    grammar instruction
    Opis:
    The prior language knowledge of learners for whom the target language is not the first foreign language poses a different starting learning situation that should merit pedagogical attention. The present paper seeks to contribute to the question of which pedagogical considerations can be made in regard to the role of prior language knowledge beyond instructed L2 grammar acquisition. Moreover, it fills a significant gap expanding the limited existing pedagogical options that instructors have at their disposal when it comes to teaching in classrooms where one foreign language is simultaneously chronologically first to some and second to others. Starting with (combinations of) existing theoretical accounts and associated pedagogical aspects (such as explicit information, negative evidence, metalinguistic explanations, grammar consciousness raising, and input enhancement), a recently developed method (Hahn & Angelovska, 2017) is discussed. The method acknowledges equally the three phases of input, practice and output and is applicable in instructed L2 grammar acquisition and beyond.
    Źródło:
    Studies in Second Language Learning and Teaching; 2017, 7, 3; 397-417
    2083-5205
    2084-1965
    Pojawia się w:
    Studies in Second Language Learning and Teaching
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estymacja wartości parametrów sygnału na podstawie dostępnej wiedzy
    Signals parameters estimation based on the available knowledge
    Autorzy:
    Smołalski, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/153804.pdf
    Data publikacji:
    2014
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    menzurand
    parametr sygnału
    wiedza aprioryczna
    reprezentacja informacji
    niepewność pomiaru
    measurand
    signal parameter
    prior knowledge
    knowledge representation
    measurement uncertainty
    Opis:
    Jako menzurand przyjęto jeden z możliwych parametrów segmentu sygnału. Przedstawiono metodę jednolitego uwzględniania wszelkich dostępnych informacji o sygnale. Wykorzystano reprezentację sygnału w skończenie-wymiarowej przestrzeni liczbowej. Rozważono przypadek ogólny, gdy parametr mierzony nie jest równy parametrowi estymowanemu. Przeanalizowano użyteczność danej informacji o sygnale w estymacji określonego jego parametru. Przedstawiono przykład ilustrujący stosowanie zaproponowanej metody.
    In this paper a measurand is assumed to be some particular parameter of the signal segment - the estimated parameter E (Section 2). A model of measurement is formulated in which all the information items available about the investigated signal (both those available a priori and those provided by measurement) are uniformly taken into account during the evaluation of the uncertainty of E. All information items are assumed to be certain. It is shown (Section 3) that the investigated signal segment can be interpreted as a point in a finite-dimensional numerical space. With each available information item corresponds in that space a specific constraint (1) of possible signals. Finding out the global extremes of the estimated parameter over the resulting set of possible signals, gives the prior uncertainty interval (3) according to E (Section 4). Measurement of some additional parameter M continues restricting the prior set of possible signals. The uncertainty (4), remaining after the measurement of M, results from a structural discrepancy between parameters E and M. One of measurability necessary conditions is presented in Section 6. It enables an easy rejection of such measured parameters M that cannot be useful for the estimation of E. Finally, an illustrative example for the method has been provided in Section 7.
    Źródło:
    Pomiary Automatyka Kontrola; 2014, R. 60, nr 12, 12; 1140-1143
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integrated region-based segmentation using color components and texture features with prior shape knowledge
    Autorzy:
    Emambakhsh, M.
    Ebrahimnezhad, H.
    Sedaaghi, M. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/908141.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    segmentacja obrazów
    zbiór poziomicowy
    dyfuzja nieliniowa
    minimalizacja energii
    image segmentation
    prior shape knowledge
    level set
    nonlinear diffusion
    energy minimization
    Opis:
    Segmentation is the art of partitioning an image into different regions where each one has some degree of uniformity in its feature space. A number of methods have been proposed and blind segmentation is one of them. It uses intrinsic image features, such as pixel intensity, color components and texture. However, some virtues, like poor contrast, noise and occlusion, can weaken the procedure. To overcome them, prior knowledge of the object of interest has to be incorporated in a top-down procedure for segmentation. Consequently, in this work, a novel integrated algorithm is proposed combining bottom-up (blind) and top-down (including shape prior) techniques. First, a color space transformation is performed. Then, an energy function (based on nonlinear diffusion of color components and directional derivatives) is defined. Next, signeddistance functions are generated from different shapes of the object of interest. Finally, a variational framework (based on the level set) is employed to minimize the energy function. The experimental results demonstrate a good performance of the proposed method compared with others and show its robustness in the presence of noise and occlusion. The proposed algorithm is applicable in outdoor and medical image segmentation and also in optical character recognition (OCR).
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 4; 711-726
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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