苏格拉底方法作为古代哲学家柏拉图传承的教学工具,通过循序渐进的提问和论证来引导学生发现自身的知识盲点1。这一方法的核心步骤包括提问者提出问题、回应者进行回答、寻求明确定义、相互澄清与达成共识,最终引导学生陷入困顿状态(aporia),从而认识到自己的无知1。
随着AI能够在STEM学科中正确回答至少65%的问题1,高等教育面临新的挑战。虽然人工智能可以快速填补知识空白并提供答案,但它无法帮助学生识别自己真正不懂的地方1。相比之下,苏格拉底方法通过引导学生经历困顿状态,教会他们认识到自己的无知,这对真正的学习而言比保持对自己无知的无知更为重要1。
因此,高等教育应当保护学生经历aporia的条件,通过鼓励课堂对话和反思性评估来培养学生发现正确问题的能力,因为发现问题的能力正是学习的真正开端1。
The Socratic method, an ancient philosophical approach attributed to Plato's accounts of Socrates, offers particular value for higher education as artificial intelligence becomes increasingly capable of answering factual questions. While AI systems can correctly respond to at least 65% of questions in STEM disciplines, they lack the capacity to help students identify the boundaries of their own knowledge.1
The traditional Socratic approach operates through a structured dialogue: one person poses questions, the other responds, definitions are sought, clarifications are made and agreed upon, and eventually the respondent reaches aporia—a state of puzzlement or recognized ignorance.1 This final stage proves crucial to genuine learning. Aporia teaches individuals to recognize what they do not know, a more valuable outcome than remaining unaware of the limits of their understanding.1 While AI can fill knowledge gaps by providing answers, it cannot help a questioner locate where those gaps actually exist.1 True learning begins not with acquiring information, but with identifying the boundaries of one's knowledge.1
For higher education to remain meaningful in an AI-driven era, institutions should prioritize protecting the conditions under which students experience aporia. This can be achieved by encouraging classroom dialogue and implementing reflective assessment practices that develop students' capacity to identify the right questions to ask—the genuine starting point of learning.1
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