C
Artificial Intelligence (AI) is revolutionizing (彻底变革) education in ways previously unimaginable. According to a 2023 report by the International Journal of Educational Technology, AI applications in classrooms have increased by 300% over the past five years. This rapid popularity reflects educators’ growing appreciation of AI’s possibility to advance learning experiences.
One of the most significant applications is adaptive learning platforms. These AI-powered tools study students’ performance in real-time, adapting difficulty levels and providing personalized response. Research from Stanford University shows that students using such platforms achieve 23% higher retention rates (保留率) compared to traditional teaching methods. Dr. Helen Carter, an educational technologist at MIT, stresses, “AI doesn’t replace teachers but enables them to recognize learning gaps more effectively and personalize instruction accordingly.”
Beyond personalized learning, AI is also changing judging methods. Automated essay scoring systems can now judge student writing with remarkable correctness, while AI-powered analytics help teachers track class-wide progress instantly. A 2024 UNESCO study found that schools using AI-assisted scoring saved an average of 6 hours per week, allowing educators to focus more on individual student needs.
However, concerns remain about possible disadvantages. Professor David Miller from Harvard warns against overdependence, “AI systems trained on limited databases maygenerate problems if not carefully monitored.” His 2024 study found that 17% of AI-powered response contained cultural assumptions that didn’t match learners’ contexts. Additionally, some educators worry that AI overusing might reduce key human interaction in the learning process.
The agreement among researchers is that AI works best as an assistant rather than a replacement. A comprehensive meta-analysis of 50 studies (Johnson et al.,2024) concluded that blended learning — combining AI tools with human instruction — brings the highest student engagement and achievement levels. The report stresses that proper teacher training and clear moral guidelines are necessary for successful application. As Dr. Carter observes, “The future of education isn’t AI or teachers — it’s AI and teachers working together.”
28. Which of the following best describes how AI is changing education according to paragraph 1?
A. By making education fairer.
B. By reducing the need for schools.
C. By improving studying experiences.
D. By focusing only on online learning.
29. What can be inferred about Dr. Helen Carter’s attitude toward AI in education?
A. She believes AI will finally replace teachers.
B. She thinks AI is only useful for grading essays.
C. She supports AI as a tool to help teachers, not replace them.
D. She warns that AI will create more problems in education.
30. The word “generate” in paragraph 4 most likely means ______.
A.produceB. remove
C. ignoreD. hide
31. Why did the author write this passage?
A. To challenge the use of AI in schools.
B. To explain how AI is changing education.
C. To recommend a specific AI learning platform.
D. To argue that teachers will lose their jobs because of AI.

原文翻译:
人工智能(AI)正在以此前难以想象的方式彻底变革教育。据《国际教育技术杂志》2023年报告,过去五年间,AI在课堂中的应用增长了300%。这种快速普及反映了教育工作者对AI提升学习体验潜力的日益认可。
最重要的应用之一是自适应学习平台。这些AI驱动的工具实时分析学生表现,调整难度级别并提供个性化反馈。斯坦福大学的研究表明,使用此类平台的学生相比传统教学方法,知识保留率高出23%。麻省理工学院教育技术专家海伦·卡特博士强调:"AI不会取代教师,而是使他们能够更有效地识别学习差距并相应地个性化教学。"
除了个性化学习,AI还在改变评估方式。自动化作文评分系统现在可以以极高的准确性评判学生写作,而AI驱动的分析工具帮助教师即时追踪全班进度。联合国教科文组织2024年的一项研究发现,使用AI辅助评分的学校平均每周节省6小时,使教育工作者能够将更多精力投入到学生的个性化需求上。
然而,人们仍对潜在弊端存有担忧。哈佛大学教授大卫·米勒警告不要过度依赖,"如果缺乏仔细监督,基于有限数据库训练的AI系统可能会产生问题。"他在2024年的研究发现,17%的AI生成反馈包含与学习者背景不符的文化假设。此外,一些教育工作者担心过度使用AI可能会减少学习过程中关键的人际互动。
研究人员的共识是,AI最适合作为助手而非替代品。一项涵盖50项研究的综合元分析(约翰逊等,2024)得出结论:混合式学习——将AI工具与人工教学相结合——能带来最高的学生参与度和成就水平。该报告强调,适当的教师培训和明确的道德准则对于成功应用至关重要。正如卡特博士所言:"教育的未来不是AI或教师——而是AI与教师协同工作。"
答案:CCAB


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