Integration of Artificial Intelligence into Teaching Methods in the Humanities and Natural Sciences
The article examines the issues of integrating artificial intelligence (AI) into educational institutions, analyzing the technical, pedagogical and ethical aspects of this process. The need for infrastructural changes, such as modernizing network infrastructure and introducing high-performance compu...
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| Главные авторы: | , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Springer Science and Business Media Deutschland GmbH
2025
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| Темы: | |
| Online-ссылка: | https://dspace.ncfu.ru/handle/123456789/29643 |
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| Краткое описание: | The article examines the issues of integrating artificial intelligence (AI) into educational institutions, analyzing the technical, pedagogical and ethical aspects of this process. The need for infrastructural changes, such as modernizing network infrastructure and introducing high-performance computing systems, is emphasized. Organizational changes, including the creation of new data functions and staff training, are also seen as key steps in successfully adapting to new technologies. The importance of pedagogical adaptation is emphasized by introducing new teaching methods and developing students’ skills in working with technology. Ethical aspects such as data security and fairness in the use of AI are considered in order to subsequently create appropriate norms and standards. The article concludes that the successful integration of AI in education requires an integrated approach that takes into account the technical, pedagogical and ethical aspects of the educational system. |
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