Artificial Intelligence Integration Into Education: Transformation Of Teaching Processes And Changes In Teachers’ Role
The integration of Artificial Intelligence (AI) technologies into
education has brought both opportunities and challenges by transforming
teaching methods. AI technologies such as personalized learning systems,
automated assessment tools, and intelligent teacher support platforms show
potential in optimizing teaching processes, providing adaptive learning, and
delivering real-time feedback to students. These advancements allow educators
to focus more on creative and strategic tasks, while reducing administrative
burdens. However, the integration of AI also raises concerns related to job
security, the digital divide, data privacy, and algorithmic biases, which could
hinder equitable access to technology and undermine the fairness of educational
systems. This study comprehensively examines the integration of AI into
education and its impact on teaching processes and teachers' roles. The
research emphasizes the importance of a balanced approach, where AI serves as a
supportive tool rather than a replacement for human teachers. Additionally, the
study proposes key strategies to mitigate AI-related risks, including
strengthening teacher professional development, ensuring equitable access to
technology, and developing ethical frameworks for the use of AI in education.
The study concludes that while AI has the potential to improve educational
outcomes, its adoption must be carefully evaluated in terms of its ethical,
social, and professional implications, ensuring that the human touch remains at
the center of the teaching and learning process.
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