THE USE OF GENERATIVE TECHNOLOGIES IN E-EDUCATION

This paper explores an innovative technology capable of creating new content from existing data, capturing global attention with the launch of the first generative AI chatbot in 2022. The main types of AI and its applications are presented, with a focus on the impact in education. Various software tools integrate generative Al, including OpenAl (ChatGPT, Codex), Microsoft (Copilot, Azure AI), Adobe (Sensei, Photoshop Generative Fill), NVIDIA (Canvas, GauGAN), IBM (Watson), and Autodesk (Generative Design) . Google has integrated AI into multiple applications to improve functionality and user experience: Google Vertex AI, Google Search (RankBrain, BERT), Google Assistant, Google Photos (Magic Editor), Gmail (Smart Compose, Smart Reply), Google Translate, Google Maps, Google Ads, Google Cloud AI, YouTube and Google Docs. The papers conclusion highlights the transformative potential of generative AI in education, providing significant benefits for improving teaching and learning experiences. AI can create personalized educational content, provide real-time feedback and adapt to individual learning styles. However, the integration of AI in education presents challenges such as data privacy and the need for continuous training of educators. Balancing technological advances with ethical considerations and ensuring equitable access are essential for generative AI to become a powerful ally in creating more dynamic and effective education systems.