Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "adaptive learning systems" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-6 z 6
    Tytuł:
    Objectives and Content of E-module “Tools for Adaptive Learning. Learning Styles” within the MOOC Course “ICT Tools for E-learning”
    Autorzy:
    Malach, Josef
    Kostolányová, Kateřina
    Chmura, Milan
    Nagyová, Ingrid
    Prextová, Tatiana
    Powiązania:
    https://bibliotekanauki.pl/articles/448452.pdf
    Data publikacji:
    2016
    Wydawca:
    Wydawnictwo Uniwersytetu Śląskiego
    Tematy:
    MOOC course
    adaptive learning
    adaptive instruction
    learning styles
    adaptive learning tools
    adaptive learning systems
    intelligent adaptive learning
    adaptive educational hypermedia systems
    adaptive e-learning
    Opis:
    The paper presents the objectives and content of the educational module “Tools for Adaptive Learning. Learning Styles” within the MOOC course “ICT Tools for E-learning,” which is being developed at the University of Ostrava as an outcome of the IRNet project. The main aim of the course is to provide both academic scholars and students with the theoretical foundation of adaptive learning that will allow them to acquire skills, to use the existing courses in the existing adaptive e-systems, and/or to create new courses and systems. The content of the course includes the following: defining basic constructs used in the course; overview of the development of adaptive learning with the use of educational technologies, its theoretical concepts, and representatives; presentation of the results of the previous researches and educational effects of adaptive (e-)learning, and some of the concepts of adaptive learning that have recently been developed at the University of Ostrava.
    Źródło:
    International Journal of Research in E-learning IJREL; 2016, 2, 1; 28-40
    2451-2583
    2543-6155
    Pojawia się w:
    International Journal of Research in E-learning IJREL
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnostics of the Student’s Learning Style With the Use of Modern Information Technologies
    Autorzy:
    Krišová, Zdeňka
    Pokorný, Miroslav
    Powiązania:
    https://bibliotekanauki.pl/articles/16530388.pdf
    Data publikacji:
    2013-12-31
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    learning
    learning style
    diagnostics of learning styles
    adaptive learning systems
    model learning style model
    methods of diagnostics of
    a learning style
    typology of learning styles
    artificial intelligence
    expert systems
    linguistic fuzzy model
    fuzzy set
    fuzzy logic
    degree of affiliation
    Opis:
    The paper deals with learning styles and their initial diagnostics in the process of the student’s learning. It is focused on a method of learning styles recognition with the support of modern information technologies. The paper analyses different methods of the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. The expert system was designed to diagnose learning styles of university students in adaptive computer aided learning systems. A significant benefit is continuous numerical evaluation of the student’s degree of affiliation to all learning categories (types of student) with a possibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model, which is completely transparent and open, and the use of a decision-making procedure corresponding to the process of human consideration. The paper is an example of an application of modern information technologies in education.
    Źródło:
    The New Educational Review; 2013, 34; 174-187
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
    Autorzy:
    Almohammadi, K.
    Hagras, H.
    Alghazzawi, D.
    Aldabbagh, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/91676.pdf
    Data publikacji:
    2017
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    e-learning
    adaptive educational systems
    artificial intelligence
    Opis:
    The adaptive educational systems within e-learning platforms are built in response to the fact that the learning process is different for each and every learner. In order to provide adaptive e-learning services and study materials that are tailor-made for adaptive learning, this type of educational approach seeks to combine the ability to comprehend and detect a person’s specific needs in the context of learning with the expertise required to use appropriate learning pedagogy and enhance the learning process. Thus, it is critical to create accurate student profiles and models based upon analysis of their affective states, knowledge level, and their individual personality traits and skills. The acquired data can then be efficiently used and exploited to develop an adaptive learning environment. Once acquired, these learner models can be used in two ways. The first is to inform the pedagogy proposed by the experts and designers of the adaptive educational system. The second is to give the system dynamic self-learning capabilities from the behaviors exhibited by the teachers and students to create the appropriate pedagogy and automatically adjust the e-learning environments to suit the pedagogies. In this respect, artificial intelligence techniques may be useful for several reasons, including their ability to develop and imitate human reasoning and decision-making processes (learning-teaching model) and minimize the sources of uncertainty to achieve an effective learning-teaching context. These learning capabilities ensure both learner and system improvement over the lifelong learning mechanism. In this paper, we present a survey of raised and related topics to the field of artificial intelligence techniques employed for adaptive educational systems within e-learning, their advantages and disadvantages, and a discussion of the importance of using those techniques to achieve more intelligent and adaptive e-learning environments.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 47-64
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive Control of Discrete Time-Varying LQGko
    Autorzy:
    Czornik, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/748156.pdf
    Data publikacji:
    1999
    Wydawca:
    Polskie Towarzystwo Matematyczne
    Tematy:
    Estimation and detection
    Adaptive control
    Discrete-time systems
    Stochastic learning and adaptive control
    Opis:
    .
    The adaptive version of the discrete time-varying linear quadratic control is considered under the assumption that the coefficients have limits as time tends to infinity sufficiently fast in certain sense and the limiting system is observable and stabilizable. It is proved that time invariant LS estimator can be used to estimate the limits of the coefficients and that it is strongly consistent under some conditions well known from the time invariant case. The estimator of the parameters is used to define an adaptive control law and it is shown that the control law is optimal.
    Źródło:
    Mathematica Applicanda; 1999, 27, 41
    1730-2668
    2299-4009
    Pojawia się w:
    Mathematica Applicanda
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Learning style recognition based on an adjustable three-layer fuzzy cognitive map
    Autorzy:
    Georgiou, D. A.
    Botsios, S.
    Mitropoulou, V.
    Papaioannou, M.
    Schizas, C.
    Tsoulouhas, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/91896.pdf
    Data publikacji:
    2011
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    learning style
    adaptive educational hypermedia systems
    Kolb’s learning cycle
    Fuzzy Cognitive Map
    FCM
    Learning Ability Factors
    Bayesian networks
    cognitive map
    three-layer fuzzy
    Opis:
    Identification of learning styles supports Adaptive Educational Hypermedia Systems compiling and presenting tutorials custom in cognitive characteristics of each individual learner. This work addresses the issue: identifying the learning style of students, following the Kolb’s learning cycle. To this purpose, we propose a three-layers Fuzzy Cognitive Map (FCM) in conjunction with a dynamic Hebbian rule for learning styles recognition. The form of FCMs is designed by humans who determine its weighted interconnections among concepts. But the human factor may not be as reliable as it should be. Thus, a FCM model of the system allowing the adjustment of its weights using additional learners’ characteristics such as the Learning Ability Factors. In this article, two consecutively interconnected FCM (in the form of a three layer FCM) are presented. The schema’s efficiency has been tested and compared to known results after a fine-tuning of the weights of the causal interconnections among concepts. The simulations results of training the process system verify the effectiveness, validity and advantageous characteristics of those learning techniques for FCMs. The online recognition of learning styles by using threelayer Fuzzy Cognitive Map improves the accuracy of recognition obtained using Bayesian Networks that uses quantitative measurements of learning style taken from statistical samples. This improvement is due to the fuzzy nature of qualitative characterizations (such as learning styles), and the presence of intermediate level nodes representing Learning Ability Factors. Such factors are easily recognizable characteristics of a learner to improve adjustment of weights in edges with one end in the middle-level nodes. This leads to the establishment of a more reliable model, as shown by the results given by the application to a test group of students.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 4; 333-347
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Coherent structures and flow control: genesis and prospect
    Autorzy:
    Gad-El-Hak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/201471.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    smart wings
    coherent structures
    reactive flow control
    adaptive control
    machine-learning control
    futuristic control systems
    microsensors
    microactuators
    artificial intelligence
    turbulent shear flows
    history of flow control
    history of coherent structures
    inteligentne skrzydła
    kontrola adaptacyjna
    mikroczujniki
    sztuczna inteligencja
    Opis:
    The genesis of both coherent structures and reactive flow control strategies is explored. Futuristic control systems that utilize microsensors and microactuators together with artificial intelligence to target specific coherent structures in a transitional or turbulent flow are considered. Of possible interest to the readers of this journal is the concept of smart wings, to be briefly discussed early in the article.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 3; 411-444
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies