The Implementation Of Artificial Intelligence In Education: Systematic Analysis

Abstract

Background: The rapid evolution of Artificial Intelligence (AI) has significantly influenced Education, demonstrating substantial potential to transform traditional teaching and learning methods. AI reshapes teacher-student interactions and the relationship with knowledge.

Objective: To analyze the potential benefits, ethical challenges, and limitations of AI in Education based on recent scientific literature, emphasizing the balance between technology and human interaction.

Methods: A documentary research approach with a descriptive focus was employed, following the PRISMA protocol for systematic reviews. The search strategy involved analyzing evidence from 18 scientific articles published within the last six years.

Results:
AI offers several advantages in Education, including:

• Personalization: Innovative and adaptive solutions enable individualized learning experiences.


• Feedback: Instant and accurate feedback facilitates improved student understanding.
  However, ethical challenges such as data privacy, equitable access to technology, and the role of educators persist.

Conclusions: AI holds promise as a valuable tool for modern Education, enhancing learning personalization and outcomes. However, it cannot replace educators and requires ethical considerations and equitable access. Finding a balance between AI and human interaction is essential for effective integration. Addressing these challenges will maximize AI's potential benefits in 21st-century Education.