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This study analyzes how AI improves learning processes through chatbots, virtual assistants, recommendation systems, and self-assessment platforms. However, significant challenges include technological integration, resistance to change, and data privacy concerns. The study provides recommendations to overcome these obstacles and maximize the benefits of AI in education, underscoring the importance of interdisciplinary collaboration and the development of appropriate educational policies.

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Systematic Review of the Literature on Artificial Intelligence in Education

  • 会议论文

  • 发表日期：

    2025年

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  • Guadalupe Pomasonco Fernández,
  • José Espinoza Mendoza,
  • Christian Ávila Tafur,
  • Yasmina Riega-Virú,
  • Gaetano Guevara-Bergna

摘要

This study analyzes how AI improves learning processes through chatbots, virtual assistants, recommendation systems, and self-assessment platforms. However, significant challenges include technological integration, resistance to change, and data privacy concerns. The study provides recommendations to overcome these obstacles and maximize the benefits of AI in education, underscoring the importance of interdisciplinary collaboration and the development of appropriate educational policies.