Group 1 - The core issue of the "third digital divide" is emerging in education, where affluent families leverage AI tools to reinforce their advantages, while ordinary families face marginalization due to limited resources and understanding [1] - The Stanford AI Index report reveals that 86% of students globally have accessed AI tools, but the distribution of educational resources is uneven, leading to a "Matthew effect" in technology benefits [1] - In the K12 education sector, the rate of computer science (CS) course offerings in U.S. high schools increased from 35% in 2017 to 60% in 2023, but disparities exist between schools, with elite schools offering CS courses at a rate of 91% compared to only 50.03% in schools serving over 75% low-income families [1] Group 2 - The transition to AI education is more flexible in high school to university stages, with AP Computer Science exam participation increasing 12-fold over 16 years, but participation rates vary significantly among different demographics [2] - From 2021 to 2023, the number of U.S. colleges offering AI bachelor's degrees rose from 9 to 19, yet only 104 graduates were produced in 2023, while master's programs saw a dramatic increase in institutions and graduates [2] - International students constitute a significant portion of AI graduate education, making up 67% of master's and 60% of doctoral students in 2023, with over half from China and India [2] Group 3 - McKinsey predicts that by 2030, about 30% of jobs in Europe and the U.S. will be replaced by AI, but the current education system is not producing talent with interdisciplinary thinking and ethical awareness [3] - The Stanford report emphasizes that AI education should integrate programming with statistics, cognitive science, and ethical philosophy, highlighting the need for a holistic approach to talent development [3] - The "AI cold door" phenomenon is evolving from individual anxiety to a systemic crisis due to uneven resource distribution, teacher capability gaps, and an outdated education system, making equitable access to technology benefits a pressing global educational reform issue [3]

大家好，我是卷卷兔。 最近一个很火的话题是"AI寒门"，最初由北京大学教育学院副教授林小英提出，指的是父母由于认知局限，不善用甚至排斥AI，导致孩子错失AI浪潮下 优化教育资源的机会。 "怕成为AI寒门，已成为新一代中产最大的育儿焦虑"。 事实上，即便在AI更突飞猛进的国外，这样的恐惧同样存在，于是也有了"第三次数字鸿沟"的研究，指富人不仅拥有AI技术，还有人帮助他们有效使 用，而穷人只能获得技术本身。 正如科技领域投资家马克·库班所说，"如果你不理解AI，你就去学习它，否则你将在3年内成为恐龙"。 ■美国知名研究机构Brookings发现，"高学历高收入的人最有可能受益于AI，而工人则更可能被AI替代，我们应该密切关注AI加剧不平等的现象" 那么，AI在教育中的不平等有多严重？ 最近，斯坦福人工智能研究所（Stanford HAI）出具了一份长达456页的重磅报告《2025年人工智能指数》，就用通俗易懂的语言和数据给出了答案： AI的普及正走向愈演愈烈的"马太效应"。 K12学校的财力、教师的培训力度直接影响了学生的AI认知，导致了一部分学生落后。 而与此同时，全球大学正在进行疯狂的AI专业版图扩张，这更进 ...