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Education must go beyond the mere production of words

This article delves into the profound implications of generative AI on education, arguing that its ability to produce fluent language risks obscuring the true purpose of learning: the formation of judgment, truth, and responsibility. Drawing on John Milton's 17th-century insights, the author contends that AI amplifies an existing educational flaw by prioritizing performance over genuine understanding. It resonates on HN for its philosophical critique of AI's perceived utility, urging a re-evaluation of pedagogical practices in an AI-driven world.

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The Lowdown

In a thought-provoking commentary, Santiago Schnell, provost at Dartmouth, argues that the advent of generative AI, exemplified by large language models like ChatGPT, necessitates a fundamental re-evaluation of what constitutes authentic education. He draws parallels to John Milton's 1644 treatise Of Education, which cautioned against mistaking command of words for genuine learning and understanding. While acknowledging AI's utility in tasks like summarizing and drafting, Schnell warns that its capacity to produce polished prose can mask a lack of true engagement and formation in students.

  • AI's Magnification of Error: AI industrializes an age-old pedagogical mistake: supplying finished language before students have undergone the essential processes of reading, questioning, hesitation, and revision that make language meaningful and foster deep understanding.
  • Education's True Purpose: True education, particularly from a Catholic perspective, is not merely about producing acceptable performances or outputs. Instead, it aims for the formation of a person capable of truth, judgment, and responsibility, an outcome requiring genuine encounter with difficulty and reality.
  • Undelegatable Acts: Critical intellectual acts like carefully attending to a text, weighing evidence, judging conclusions, and taking responsibility for one's claims cannot be delegated to machines. Their purpose is not just to produce an output, but to form the mind of the person performing them.
  • The Teacher's Evolving Role: In an AI age, the teacher's role becomes even more crucial as an experienced guide in inquiry, fostering critical thinking and exposing confusion, rather than simply distributing content.
  • Pedagogical Redesign: Schnell advocates for practical changes, including more in-class writing, oral defenses, seminars focused on live questions, and laboratory work. He also suggests transparency in AI use, requiring students to disclose how AI was employed and why choices were made, promoting intellectual ownership.
  • Beyond Academia: The principles extend to the home, encouraging device-free conversation and asking children not just what they think, but why.

Ultimately, Schnell concludes that AI's disruption is less a crisis and more a clarification, forcing educational institutions to confront and address pre-existing habits of rewarding performance over understanding. If this challenge leads to a recovery of education's core purpose—the formation of minds capable of real questions, careful judgment, and responsibility for truth—then the age of AI could paradoxically usher in a period of educational renewal, aligning with Milton's deeper, even theological, vision of learning.