尽管人们普遍担心学生过度依赖人工智慧而失去独立思考能力，但部分教育工作者发现，许多学生其实非常害怕「认知卸载」，甚至不愿使用科技。然而，研究也同时指出，学生若过度依赖人工智慧，确实可能会以牺牲批判性思维与独立判断能力为代价，这使得教育界在人工智慧的应用上呈现两极化的现象与担忧。

为了应对这些挑战，学校目前多保留传统的闭卷考试来测试学生的真实理解力，但愈来愈多教育者认为在适当的防护措施下整合人工智慧是必要的。透过将低阶任务交由人工智慧处理，学生可以进行「有益的卸载」，从而将更多精力集中在评估证据、组织论点及综合资讯等深层学习与高阶思维上。

人工智慧在教育上的另一大潜力在于提供高度客制化的学习体验，例如透过苏格拉底式的对话引导学生思考，或利用数位虚拟人协助语言学习。专家强调，面对科技的迅速发展，教育界必须重新检视并解构旧有的教学与评估流程，精准找出真正重要的核心能力，以培养学生的批判性思考与复杂学习能力。

Although there are widespread concerns about students over-relying on artificial intelligence and losing their independent thinking skills, some educators find that many students actually fear "cognitive offloading" and are reluctant to use technology. However, research simultaneously indicates that excessive reliance on AI can come at the cost of critical thinking and independent judgment, creating polarized phenomena and concerns within the education sector regarding its application.

To address these challenges, schools currently maintain traditional closed-book exams to test students' genuine comprehension, yet a growing number of educators believe integrating AI with appropriate safeguards is essential. By delegating lower-order tasks to AI, students can engage in "beneficial offloading," thereby focusing more energy on evaluating evidence, structuring arguments, and synthesizing information for deep learning and higher-order thinking.

Another major potential of AI in education lies in providing highly personalized learning experiences, such as guiding student thought through Socratic dialogue or utilizing digital avatars to assist with language learning. Experts emphasize that in the face of rapid technological advancement, the education sector must re-examine and unpick old teaching and assessment processes, pinpointing the core skills that truly matter to build students' critical thinking and sophisticated learning capabilities.