3,949 research outputs found

    Про деякі підходи до персоналізації щодо організації інтерфейсу користувача в автоматизованих системах

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    In modern automated systems, users are often facing the problem of information overload due to the ever increasing amounts of information to be processed in a short time. Working in these conditions affects the quality of users performing their functions in the system and the reliability of the systems themselves.In the article different existing approaches to solving this problem are described and analyzed, which are based on the idea of creating customized tools for users work with information. On the basis of these solutions a complex methodology of information representation and storage forms personalization is suggested, as well as software architecture based on it.In modern automated systems, users are often facing the problem of information overload due to the ever increasing amounts of information to be processed in a short time. Working in these conditions affects the quality of users performing their functions in the system and the reliability of the systems themselves.In the article different existing approaches to solving this problem are described and analyzed, which are based on the idea of creating customized tools for users work with information. On the basis of these solutions a complex methodology of information representation and storage forms personalization is suggested, as well as software architecture based on it

    An open learning environment for the diagnosis, assistance and evaluation of students based on artificial intelligence

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    The personalized diagnosis, assistance and evaluation of students in open learning environments can be a challenging task, especially in cases that the processes need to be taking place in real-time, classroom conditions. This paper describes the design of an open learning environment under development, designed to monitor the comprehension of students, assess their prior knowledge, build individual learner profiles, provide personalized assistance and, finally, evaluate their performance by using artificial intelligence. A trial test has been performed, with the participation of 20 students, which displayed promising results

    Rethinking Education in the Age of AI: The Importance of Developing Durable Skills in the Industry 4.0

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    This article discusses the pressing need to integrate artificial intelligence (AI) into education to facilitate customizable, individualized, and on-demand learning pathways. At the same time, while AI has the potential to expand the learner base and improve learning outcomes, the development of NACE Competencies and durable skills – communication, critical thinking, creativity, leadership, adaptability, and emotional intelligence - must be purposefully integrated in curriculum design now more than ever. Recent studies have shown that AI-driven learning pathways can achieve outcomes more quickly, but this comes at the cost of the development of durable skills. Therefore, traditional student-to-student and student-to-teacher interactions must be prioritized. As such, this study proposes a balanced approach to curriculum design to ensure the best outcomes for learners, where durable skill development is prioritized alongside subject-specific skills and rote memorization. Additionally, the article highlights the need for a combination of Just in Time Training (JITT) approaches, facilitated by AI technology, to reach the implementation of durable skills. The article concludes by questioning how to develop human skills in an increasingly AI-driven education system and emphasizes the importance of curriculum design and traditional learning approaches in creating a cohesive learning experience that develops durable skills in students. It is necessary to recognize that AI-driven education cannot replace the development of human skills, and that traditional interactions play a crucial role in developing these skills
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