AI Dependency Among Students Impact on Critical Thinking and Problem-Solving Skills

The increasing dependency on artificial intelligence among students has emerged as a double - edged sword in modern education, profoundly influencing their critical thinking and problem- solving abilities. This study reveals that while AI tools offer unprecedented efficiency in information retrieval, task completion, and idea generation, over-reliance on them often leads to diminished cognitive engagement. Students frequently bypass essential mental processes such as analysis, evaluation, and synthesis, resulting in shallower understanding, reduced creativity, and impaired independent problem-solving skills. Empirical evidence from surveys and performance assessments indicates a notable decline in original thought and resilience when faced with complex, unassisted challenges, underscoring how AI can inadvertently foster cognitive laziness rather than augmentation. Nevertheless, the findings do not advocate for the rejection of AI but emphasize the urgent need for balanced integration within pedagogical frameworks. Educational institutions must prioritize strategies that harness AI as a supportive scaffold—such as adaptive learning platforms paired with reflective exercises, AI literacy curricula, and assignments designed to require human-AI collaboration—while actively cultivating core competencies like logical reasoning, ethical judgment, and innovative thinking. By doing so, educators can mitigate the risks of dependency and transform AI into a catalyst for enhanced intellectual growth. Ultimately, as AI becomes ubiquitous in academic and professional landscapes, preserving and strengthening students’ critical thinking and problem-solving skills is not merely an educational imperative but a societal necessity. Future research should explore longitudinal impacts and innovative interventions to ensure that technology empowers rather than erodes human cognitive potential, equipping the next generation to thrive as discerning thinkers and adaptable problem- solvers in an AI-driven world.  

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