Yapay zeka ile öğrenme paradoksu: Eğitimsel yararlar ve dijital bağımlılık dengesini kurmak

As artificial intelligence (AI) transforms higher education and universities are increasingly adopting AI-driven tools to personalize learning, streamline administration, and enhance student engagement. However, this integration presents a paradox: while AI promises to improve educational outcomes, it also risks deepening students’ digital dependency. This paper explores how AI features like persuasive design and data-driven personalization can unintentionally foster compulsive behaviors and cognitive overload. Drawing on theories such as Cognitive Load Theory and Surveillance Capitalism, it critiques how AI may mirror the addictive patterns of social media and entertainment technologies. The paper proposes a balanced approach to AI integration, recommending the adoption of mindful design principles, digital well-being policies, and ethical guidelines that prioritize student mental health alongside academic performance. It concludes by urging educators, policymakers, and developers to collaboratively design AI systems that enhance learning while safeguarding students’ well-being and autonomy.