Integration of Artificial Intelligence in Distance Education: Challenges and Potentials
DOI:
https://doi.org/10.51473/rcmos.v1i1.2024.489Keywords:
Artificial Intelligence. Distance Education. Learning Personalization.Abstract
This study explores the transformative role of Artificial Intelligence (AI) in distance education, inspired by the pedagogical intervention experience of Pereira et al. (2023). The focus is on the benefits, challenges and practical implications of implementing AI in this context. Personalizing learning and improving educational efficiency in the digital environment are fundamental to the relevance of this topic. The general objective is to investigate how AI can be used to enrich distance teaching and learning, using a successful practical example as a reference and discussing the advantages and disadvantages of its adoption. The analysis focuses on how personalizing learning through AI can optimize educational resources and provide immediate feedback, while addressing significant challenges such as issues of privacy, ethics, and equitable access to technologies. The conclusions highlight the importance of teacher training, the development of appropriate educational policies and collaboration between different stakeholders to overcome obstacles and maximize the potential of AI in distance education. Despite the challenges, it is concluded that the benefits of integrating AI into distance education justify continued efforts in research and application.
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Copyright (c) 2024 Gilmara Benício de Sá, Adilson Lima Pereira, Alan Carlos Pereira Pinto, Elzo Brito dos Santos Filho, Jacson King Valério Oliveira (Autor/in)
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