儘管人們普遍擔心學生過度依賴人工智慧而失去獨立思考能力，但部分教育工作者發現，許多學生其實非常害怕「認知卸載」，甚至不願使用科技。然而，研究也同時指出，學生若過度依賴人工智慧，確實可能會以犧牲批判性思維與獨立判斷能力為代價，這使得教育界在人工智慧的應用上呈現兩極化的現象與擔憂。

為了應對這些挑戰，學校目前多保留傳統的閉卷考試來測試學生的真實理解力，但愈來愈多教育者認為在適當的防護措施下整合人工智慧是必要的。透過將低階任務交由人工智慧處理，學生可以進行「有益的卸載」，從而將更多精力集中在評估證據、組織論點及綜合資訊等深層學習與高階思維上。

人工智慧在教育上的另一大潛力在於提供高度客製化的學習體驗，例如透過蘇格拉底式的對話引導學生思考，或利用數位虛擬人協助語言學習。專家強調，面對科技的迅速發展，教育界必須重新檢視並解構舊有的教學與評估流程，精準找出真正重要的核心能力，以培養學生的批判性思考與複雜學習能力。

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.