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    Wyświetlanie 1-3 z 3
    Tytuł:
    Artificial intelligence at universities in Poland
    Autorzy:
    Stachowicz-Stanusch, A.
    Amann, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/392992.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    artificial intelligence
    chatbot
    intelligent tutoring system
    sztuczna inteligencja
    wirtualny asystent
    inteligentny system nauczania
    Opis:
    Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. Chatbots are one of those AI-driven solutions that support learning and teaching processes also in higher education institutions. In this paper there are presented two cases of chatbot technology implementation at Polish universities. Chatbots develop students’ technical and programming skills, but also provide the possibility of gaining linguistic expertise. However, a chatbot’s teaching mastery depends also on its users. That is why it is important to get students to truly understand AI systems and feel responsible for the conversation. But above all, we should ensure that chatbots respect human and civil rights.
    Źródło:
    Organizacja i Zarządzanie : kwartalnik naukowy; 2018, 2; 65-82
    1899-6116
    Pojawia się w:
    Organizacja i Zarządzanie : kwartalnik naukowy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A method for learning scenario determination and modification in intelligent tutoring systems
    Autorzy:
    Kozierkiewicz-Hetmańska, A.
    Nguyen, N. T.
    Powiązania:
    https://bibliotekanauki.pl/articles/907820.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system e-learningowy
    nauczanie zdalne
    inteligentny system uczący
    e-learning system
    intelligent tutoring system
    learning scenario
    personalization
    Opis:
    Computers have been employed in education for years. They help to provide educational aids using multimedia forms such as films, pictures, interactive tasks in the learning process, automated testing, etc. In this paper, a concept of an intelligent e-learning system will be proposed. The main purpose of this system is to teach effectively by providing an optimal learning path in each step of the educational process. The determination of a suitable learning path depends on the student's preferences, learning styles, personal features, interests and knowledge state. Therefore, the system has to collect information about the student, which is done during the registration process. A user is classified into a group of students who are similar to him/her. Using information about final successful scenarios of students who belong to the same class as the new student, the system determines an opening learning scenario. The opening learning scenario is the first learning scenario proposed to a student after registering in an intelligent e-learning system. After each lesson, the system tries to evaluate the student's knowledge. If the student has a problem with achieving an assumed score in a test, this means that the opening learning scenario is not adequate for this user. In our concept, for this case an intelligent e-learning system offers a modification of the opening learning scenario using data gathered during the functioning of the system and based on a Bayesian network. In this paper, an algorithm of scenario determination (named ADOLS) and a procedure for modifying the learning scenario AMLS with auxiliary definitions are presented. Preliminary results of an experiment conducted in a prototype of the described system are also described.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 1; 69-82
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sztuczna inteligencja (SI) w badaniach lingwistycznych
    Artificial Intelligence (AI) in Linguistic Research
    Autorzy:
    Sztuk, Alicja
    Powiązania:
    https://bibliotekanauki.pl/articles/555501.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Warszawski. Wydział Lingwistyki Stosowanej
    Tematy:
    artificial intelligence
    machine learning
    linguistic intelligence
    linguistic research
    intelligent tutoring system
    linguistic smart software system for glottodidactics and translation intelligent
    voice recognition
    chatbot
    terminotics
    Opis:
    The main purpose of the paper is both to present and to highlight the wide range of artificial intelligence appliance in linguistic research. I intend to define the so called ‘linguistic intelligence’ in the sense of machine learning, based mainly on artificial neural networks. Linguistic intelligent solutions seem to be not only up-to-date but also very promising in the area of developing and improving any intelligent linguistic tools, such as intelligent tutoring systems that are able to interact with human being, or the voice (speech) recognition systems that are able to receive, interpret (understand) and sometimes even carry out spoken commands. Finally, I intend to present the area of so called ‘terminotics’. The term refers to the meeting point of three interrelated disciplines: terminology, computational linguistics and linguistic engineering. This branch is also assisted by computer tools and new technologies based on artificial intelligence and machine learning. These (tools) are mainly designed for term extraction and corpora development but lately there are also some new possibilities to use these tools to increase the quality of terminology infrastructure as well.
    Źródło:
    Applied Linguistics Papers; 2018, 25/4; 159-174
    2544-9354
    Pojawia się w:
    Applied Linguistics Papers
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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