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Esplora cataloghi istituzionali, risorse elettroniche, riviste ad accesso aperto, collezioni disponibili e collegamenti per l’accesso accademico.

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Risultati

4 risultati trovati.

Tipi di risorsa: Libro cartaceo Libro elettronico Articolo Rivista Tesi Capitolo
Ricerca accademica
The Phenomenon of “Artificial Intelligence” in the Formation of Transversal Competencies of the Future Teacher: Pros and Cons
Articolo
Articolo
Lіudmуla Popova · Vasyl Stefanyk Carpathian National University · 2024 · ISSN 2311-0155
This article updates the problem of professional training of the future teacher in the context of rethinking the education process, forming a system of knowledge, abilities and skills necessary for the professional compe...
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Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
The Impact of Artificial Intelligence on the Formation of a Teacher’s Digital Twin in the Metaverse
Articolo
Articolo
Oksana Domina et al · Vasyl Stefanyk Carpathian National University · 2025 · ISSN 2311-0155
Recently, higher education has undergone significant changes due to the use of digital technologies and innovations. The use of innovative platforms, hybrid models and online services cannot overcome the requirements of ...
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Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Methodology for Leveraging Artificial Intelligence to Formulate Problems of Discovering Novel Growth Models and Enabling Strategic Management of Complex Socio-Economic Systems
Articolo
Articolo
M. S. Varenik et al · North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration · 2026 · ISSN 1726-1139
Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...
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Institucional
Game Theory and Reinforcement Learning
Articolo
Articolo
Prithviraj Dasgupta · LibraryPress@UF · 2026 · ISSN 2334-0754
Reinforcement learning (RL) is a widely used learning paradigm that has shown significant successes in solving many hard AI problems including mastering real-time strategy games, autonomous car driving, and LLM model ali...
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Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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