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The relentless focus on improving test scores through drills and worksheets has backfired. It has demoralized teachers, made students hate subjects like reading and math, and ultimately led to stagnant or declining performance. The cure has become the disease.
The education system is fixated on preventing AI-assisted cheating, missing the larger point: AI is making the traditional "test" and its associated skills obsolete. The focus must shift from policing tools to a radical curriculum overhaul that prioritizes durable human skills like ethical judgment and creative problem-solving.
Both the host and guest argue that the education system prioritizes memorization and regurgitation over critical thinking. True learning and problem-solving skills are often only developed after formal schooling, in real-world situations that demand independent thought rather than repeated answers.
By over-indexing on standardized tests, the education system teaches that every problem has a single correct answer held by an authority. This creates graduates who excel at logic problems but lack the common sense and initiative to solve ambiguous "life problems."
Schooling has become a victim of Goodhart's Law. When a measure (grades, test scores) becomes a target, it ceases to be a good measure. Students become experts at 'doing school' — maximizing the signal — which is a separate skill from the actual creative and intellectual capabilities the system is supposed to foster.
Despite average test scores on a consistent exam dropping by 10 points over 20 years, 60% of all grades at Harvard are now A's, up from 25%. This trend suggests a significant devaluation of academic credentials, where grades no longer accurately reflect student mastery.
AI makes cheating easier, undermining grades as a motivator. More importantly, it enables continuous, nuanced assessment that renders one-off standardized tests obsolete. This forces a necessary shift from a grade-driven to a learning-driven education system.
Instead of just banning AI to prevent cheating, one school district experimented by increasing test frequency. This counterintuitively motivated students to use guided AI learning features to master the material, rather than just get homework answers, proving the need to rethink educational workflows.
The Gaokao rewards rote memorization and test-taking skills over creativity and boundary-pushing. This educational culture could be a long-term liability for China's ambitions to become a global innovation leader, as it doesn't cultivate the imaginative mindset seen in other tech hubs.
The traditional, time-based education system is structured to reward only two traits: high IQ and conscientiousness (being a "grinder"). It does not adapt to different learning styles or aptitudes, leading to widespread failure and disengagement for students who don't fit this narrow mold.
The curriculum prioritizes easily testable, obsolete math skills over practical, modern concepts like estimation and optimization. This is because standardized tests favor single-answer questions over creative problem-solving, creating a system that teaches what is convenient, not what is valuable.