Article
Version 1
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A New Educational Reality: Active Methodologies Empowered by Generative AI
Version 1
: Received: 26 August 2024 / Approved: 27 August 2024 / Online: 27 August 2024 (11:52:35 CEST)
How to cite: Ferreira, T. M. A New Educational Reality: Active Methodologies Empowered by Generative AI. Preprints 2024, 2024081933. https://doi.org/10.20944/preprints202408.1933.v1 Ferreira, T. M. A New Educational Reality: Active Methodologies Empowered by Generative AI. Preprints 2024, 2024081933. https://doi.org/10.20944/preprints202408.1933.v1
Abstract
The article explores the integration of generative artificial intelligence with active methodologies in modern education, highlighting how this combination can transform pedagogical practices and promote more personalized and effective learning. The study investigates the application of tools such as ChatGPT , which enhance the personalization of teaching, providing immediate feedback and adjusting content to students' individual needs. The research is structured into three chapters: the first addresses practical strategies for applying these methodologies with AI, the second evaluates their effectiveness in learning and the third presents practical examples of integration. Adapting teaching through AI was a central element in developing a more efficient learning environment aligned with the specific needs of each student. The results point to a significant increase in student engagement, understanding and retention of content, although they highlight the need for careful and ethical implementation to avoid challenges such as superficiality in learning and data privacy issues. It is concluded that the integration of generative AI with active methodologies can significantly transform the educational environment, but must be carried out in a balanced and responsible way, complementing traditional pedagogical practices and ensuring the comprehensive training of students.
Keywords
Inteligência Artificial Generativa; Metodologias Ativas; Personalização do Ensino; Aprendizagem Eficaz; Integração Pedagógica
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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