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    Wyświetlanie 1-7 z 7
    Tytuł:
    Family Participation in the Dyslexia Remedy of the 1st Stage Elementary School Pupils
    Autorzy:
    Belkova, Vlasta
    Powiązania:
    https://bibliotekanauki.pl/articles/52045050.pdf
    Data publikacji:
    2004-12-31
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    learning disorders
    dyslexia
    family
    remedy
    remedial methods
    and dyslexic child
    Opis:
    The contribution deals with the possibilities of dyslexia remedy. It aims to help pupils from the 1st stage of elementary schools in family. It describes factors determining this process in family, e.g. parents education, the number of schoolchildren. It describes family possibilities while eliminating dyslexic hardships.
    Źródło:
    The New Educational Review; 2004, 4; 211-219
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnosis of dyslexic disorders and identification of factors associated with reading learning disabilities within the Moroccan context
    Autorzy:
    Ihbour, Said
    Hnini, Rachid
    Anarghou, Hammou
    Ahami, Ahmed Tohami
    Chigr, Fatiha
    Najimi, Mohamed
    Powiązania:
    https://bibliotekanauki.pl/articles/2106141.pdf
    Data publikacji:
    2019-11-08
    Wydawca:
    Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
    Tematy:
    Learning
    Reading
    Diagnosis
    Dyslexic disorders
    Morocco
    Opis:
    Reading acquisition disorders constitute the main problem in children's learning. in Morocco, epidemiological data are very rare. Research, mainly in the English language, concerns either the sociological or the cognitive field. Few studies, among them not one in Arabic, have explored the link relating to social and cognitive factors. The purpose of our work is to study and analyze the cognitive and social variables related to different reading skills among Moroccan pupils in primary and secondary public schools. From a sample of 754 learners (388 boys and 366 girls) ranging in age from 9 to 15 years with an average of 11.59 years, the diagnostic tests identified 145 students with deficient skills "Bad readers (BR)," 128 suspected of being in difficulty classified as « intermediate level (IL) » and a group of 481 children as good readers ( GR). Statistical analyses have shown that the first two groups (BR and IL) represent 24% in the favoured areas compared to 43% in the disadvantaged. The analysis of scores and the nature of the errors made on various reading tests show that 41 students, or 5.43% of our sample, present a dyslexia profile. 13 (1.72%) of whom have very severe difficulties. The phonological aptitudes (Rapid automatized naming, phonological short-time memory and especially phonological awareness) mainly reflect the level of reading. These phonological abilities are highly influenced by early attendance of preschool and by the degree of exposure to written language at home. These data, which are unique in Morocco, are consistent to that of the published subject literature. They make it possible to plan preventive actions by generalizing pre-school teaching, particularly in precarious environments. These actions should be based on playful exercises aimed at improving phonological abilities at an early age, while exploiting the brain sensitivity to reading at that age. Phonological awareness and rapid naming are the most implicated factors in the disparity of reading skills. These abilities are highly influenced by the integration of preschool at a very early age and by the degree of exposure to written language activities. Therefore, there is a need to plan preventive actions, based on playful exercises, aiming to improve phonological skills from the pre-school period
    Źródło:
    Acta Neuropsychologica; 2019, 17(3); 261-281
    1730-7503
    2084-4298
    Pojawia się w:
    Acta Neuropsychologica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Four b-learning models in childrens speech-language therapy
    Autorzy:
    Jatkowska, Joanna
    Powiązania:
    https://bibliotekanauki.pl/articles/426146.pdf
    Data publikacji:
    2019
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    speech-language therapy
    speech disorders
    information and communication technologies
    e-learning platform
    b-learning
    b-learning models
    Opis:
    B-learning is a new tool in children’s speech-language pathology, one which has not previously been tested empirically by Polish scholars. Polish speech-language pathology has used information and communication technologies for diagnostic and therapeutic purposes for more than 30 years. Originally, speech-language pathologists in Poland used computer software translated from other languages, but in the 1990s, they began to develop their own programs to accommodate the specificity of the Polish language. The advent of the Internet brought with it speech-language therapy e-learning platforms. The author of this paper created a remote speech-language therapy course concept in 2009, which was used to create the first Polish e-learning platform for children with speech impediments, available at www.elogo.edu.pl. Developed in 2010, it was part of the EU project: “Stworzenie internetowego serwisu E-Logo-Edukacja, opartego na innowacyjnych e-usługach: e-logopedia i e-statystyka” (“Development of the E-Logo-Edukacja online service based on innovative e-services: e-speech therapy and e-statistics”). The platform has been used in the speech-language therapy of children with speech impediments in order to verify if new technologies can help improve articulation. The creator of the concept named it b-learning, and it incorporates online exercises into traditional speech-language therapy. A study conducted between 2011 and 2014 on two 35-person groups (an experimental group and a control group) proved that b-learning can be effective when applied in children’s speech-language therapy. This paper demonstrates the effectiveness of four b-learning models. The results obtained proved that the most effective b-learning model involved the concurrent use of traditional speech-language therapy and the e-learning platform.
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2019, 5 (82); 18-26
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative Analysis of Classifiers for the Assessment of Respiratory Disorders Using Speech Parameters
    Autorzy:
    Shrivastava, Poonam
    Tripathi, Neeta
    Singh, Bikesh Kumar
    Dewangan, Bhupesh Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/31339918.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    healthy speech
    affected speech
    machine learning
    classification techniques
    respiratory disorders
    speech analysis
    Opis:
    Non-invasive techniques for the assessment of respiratory disorders have gained increased importance in recent years due to the complexity of conventional methods. In the assessment of respiratory disorders, machine learning may play a very essential role. Respiratory disorders lead to variation in the production of speech as both go hand in hand. Thus, speech analysis can be a useful means for the pre-diagnosis of respiratory disorders. This article aims to develop a machine learning approach to differentiate healthy speech from speech corresponding to different respiratory disorders (affected). Thus, in the present work, a set of 15 relevant and efficient features were extracted from acquired data, and classification was done using different classifiers for healthy and affected speech. To assess the performance of different classifiers, accuracy, specificity (Sp), sensitivity (Se), and area under the receiver operating characteristic curve (AUC) was used by applying both multi-fold cross-validation methods (5-fold and 10-fold) and the holdout method. Out of the studied classifiers, decision tree, support vector machine (SVM), and k-nearest neighbor (KNN) were found more appropriate in providing correct assessment clinically while considering 15 features as well as three significant features (Se > 89%, Sp > 89%, AUC> 82%, and accuracy > 99%). The conclusion was that the proposed classifiers may provide an aid in the simple assessment of respiratory disorders utilising speech parameters with high efficiency. In the future, the proposed approach can be evaluated for the detection of specific respiratory disorders such as asthma, COPD, etc.
    Źródło:
    Archives of Acoustics; 2023, 48, 1; 13-24
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A novel framework for fetal nuchal translucency abnormality detection using hybrid maxpool matrix histogram analysis
    Autorzy:
    Verma, Deept
    Agrawal, Shweta
    Powiązania:
    https://bibliotekanauki.pl/articles/38703226.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    nuchal translucency
    genetic disorders
    hybrid maxpool matrix histogram analysis
    pregnant women
    machine learning
    przezierność karku
    zaburzenia genetyczne
    analiza histogramu hybrydowej macierzy Maxpool
    kobiety w ciąży
    nauczanie maszynowe
    Opis:
    Birth defects affect 1 to 3 percent of the population and are mostly detected in pregnantwomen through double, triple, and quadruple testing. Ultrasonography helps to discoverand define such anomalies in fetuses. Ultrasound pictures of nuchal translucency (NT)are routinely used to detect genetic disorders in fetuses. The NT area lacks identifiablelocal behaviors and detection algorithms are required to classify the fetal head. On theother hand, explicit identification of other body parts comes at a higher cost in termsof annotations, implementation, and analysis. In circumstances of ambiguous head placement or non-standard head-NT relationships, it may potentially cause cascading errors.In this research work, a linear contour size filter is used to decrease noise from the image,and then the picture is scaled. Then, a novel hybrid maxpool matrix histogram analysis (HMMHA) is proposed to enhance the initiation and progression. The training andassessment were conducted using a dataset of 33 ultrasound pictures. Extensive testingshows that the direct method reliably identifies and measures NT. The suggested modelmay assist doctors in making decisions about pregnancies with fetal growth restriction,particularly for patients who have nuchal translucency or congenital anomalies and donot require induced labor due to these abnormalities. The performance of the proposedtechnique is analyzed in terms of error rate, sensitivity, Matthews correlation coefficient(MCC), accuracy, precision, recall, and F1-score. The error rate of the proposed model is28.21% and it is found to be better when compared with the conventional approaches. Finally, the error prediction is compared with the existing models obtained from the medicaldataset of pregnant women to identify fetal abnormality positions.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2023, 30, 3; 277-290
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Teaching the skill of speaking to an autistic learner: A case study
    Uczenie umiejętności mówienia ucznia autystycznego: studium przypadku
    Autorzy:
    Polok, Krzysztof
    Sadlik, Magdalena
    Powiązania:
    https://bibliotekanauki.pl/articles/2085328.pdf
    Data publikacji:
    2022-07-11
    Wydawca:
    Akademia Humanistyczno-Ekonomiczna w Łodzi
    Tematy:
    SEN
    autism spectrum disorders
    English language teaching/learning
    interactive methods
    Asperger’s Syndrome
    parents of autistic children
    the MI theory
    SPE
    spektrum autyzmu
    nauczanie/uczenie się języka angielskiego
    metody interaktywne
    zespół Aspergera
    rodzice dzieci autystycznych
    teoria MI
    Opis:
    This paper reports the findings of research that the author conducted in order to investigate the development of English communication skills in learners with autistic spectrum disorders. Information and background about the issue is followed by a brief analysis of theory as presented in the literature. In the first part of the paper, the authors examine the relationship between appropriate therapy, understanding the disorder, using specific teaching methods, and the effective learning of communication skills in English. As shown in the literature, learning a language can bring therapeutic benefits and the use of particular teaching techniques has great effects on the development of English communication skills in autistic children. Furthermore, the subsequent part of the paper presents the results of the author’s work with a student suffering from Asperger’s syndrome. The paper ends with conclusions drawn as a result of the case study.
    Praca przedstawia dokładną analizę teoretyczną oraz badania mające na celu zweryfikowanie możliwości rozwoju umiejętności komunikacyjnych w języku angielskim u uczniów posiadających zaburzenia w spektrum autyzmu. W pierwszej części autorzy prezentują informacje dotyczące opisywanego zaburzenia, a także związek między dogłębnym zrozumieniem autyzmu, zastosowaniem odpowiedniej terapii, włączeniem konkretnych metod nauczania a efektywnym nauczaniem umiejętności komunikacji. Jak pokazuje literatura, rozwijanie kompetencji językowych może mieć również walory terapeutyczne, co więcej, zastosowanie odpowiednich technik nauczania powoduje znaczną poprawę zdolności komunikacji w języku angielskim u dzieci autystycznych. Dlatego też w kolejnej części pracy przedstawiono wyniki pracy autorów z uczennicą cierpiącą na zespół Aspergera, a na koniec ukazano wnioski z badania.
    Źródło:
    Językoznawstwo; 2022, 16, 1; 167-178
    2391-5137
    Pojawia się w:
    Językoznawstwo
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    AI-supported reasoning in physiotherapy
    Wnioskowanie w fizjoterapii wspierane sztuczną inteligencją
    Autorzy:
    Mikołajewski, Dariusz
    Mikołajewska, Emilia
    Powiązania:
    https://bibliotekanauki.pl/articles/41203435.pdf
    Data publikacji:
    2024
    Wydawca:
    Uniwersytet Kazimierza Wielkiego w Bydgoszczy
    Tematy:
    artificial intelligence
    machine learning
    clinical reasoning
    clinical decision support system
    interview
    musculoskeletal pain disorders
    physiotherapy
    usability
    recommender system
    self-management
    mHealth
    sztuczna inteligencja
    uczenie maszynowe
    wnioskowanie kliniczne
    system wspomagania decyzji klinicznych
    wywiad
    zaburzenia bólowe układu mięśniowo-szkieletowego
    fizjoterapia
    użyteczność
    system rekomendacji
    samokontrola
    mZdrowie
    Opis:
    Artificial intelligence (AI)-based clinical reasoning support systems in physiotherapy, and in particular data-driven (machine learning) systems, can be useful in making and reviewing decisions regarding functional diagnosis and formulating/maintaining/modifying a rehabilitation programme. The aim of this article is to explore the extent to which the opportunities offered by AI-based systems for clinical reasoning in physiotherapy have been exploited and where the potential for their further stimulated development lies.
    Systemy wspomagania wnioskowania klinicznego w fizjoterapii oparte na sztucznej inteligencji, a w szczególności na danych (uczenie maszynowe), mogą być przydatne w podejmowaniu i weryfikacji decyzji dotyczących diagnostyki funkcjonalnej ora formułowania/utrzymywania/modyfikowania programu rehabilitacji. Celem niniejszego artykułu jest zbadanie, w jakim stopniu możliwości oferowane przez systemy oparte na sztucznej inteligencji w zakresie rozumowania klinicznego w fizjoterapii zostały wykorzystane i gdzie leży potencjał ich dalszego stymulowanego rozwoju.
    Źródło:
    Studia i Materiały Informatyki Stosowanej; 2024, 16, 2; 21-27
    1689-6300
    Pojawia się w:
    Studia i Materiały Informatyki Stosowanej
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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