Architecture and Attributes of Intelligent Online Education System
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2025
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| _version_ | 1866901736568913920 |
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| author | Mišút, Martin Mišútová, Maria |
| author_facet | Mišút, Martin Mišútová, Maria |
| contents | <p>This article analyses how modern intelligent education systems integrate artificial intelligence, data analytics, and personalisation to provide adaptive learning environments. The authors propose an architectural framework composed of key modules such as content delivery, personalisation, data analytics, feedback mechanisms, and user interaction. Emphasis is placed on adaptability, real-time support, scalability, and data security. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15554170 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Architecture and Attributes of Intelligent Online Education System Mišút, Martin Mišútová, Maria Intelligent educational systems Personalization of learning Adaptive learning Artificial intelligence in e-learning Intelligent educational system architecture <p>This article analyses how modern intelligent education systems integrate artificial intelligence, data analytics, and personalisation to provide adaptive learning environments. The authors propose an architectural framework composed of key modules such as content delivery, personalisation, data analytics, feedback mechanisms, and user interaction. Emphasis is placed on adaptability, real-time support, scalability, and data security. </p> |
| title | Architecture and Attributes of Intelligent Online Education System |
| topic | Intelligent educational systems Personalization of learning Adaptive learning Artificial intelligence in e-learning Intelligent educational system architecture |
| url | https://doi.org/10.5281/zenodo.15554170 |