Artificial Intelligence (AI) -assisted Education Poverty Alleviation in the Stage of Relative Poverty: Focuses, Advantages, Difficulties and Strategies
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摘要: 人工智能作为实现新时期教育跨越式发展的抓手，为下一阶段巩固脱贫攻坚成果提供了广阔空间。研究基于人工智能视角，提出了相对贫困阶段中国教育扶贫的四大重点，即经济贫困、知识贫困、精神贫困和信息贫困，并据此分析了人工智能技术助力教育扶贫的优势和困境。现阶段在中国推进人工智能助力教育扶贫，需优化欠发达地区学校智能教育基础设施建设，完善欠发达地区学校信息隐私安全体系构建，提供开放的平台与服务，并重视人工智能人才的培养。Abstract: As the starting point to achieve the leap forward development of education in the new era, AI provides a broad space for consolidating the achievements of poverty alleviation in the next stage. Based on the perspective of AI, this paper puts forward four key objects of education poverty alleviation in the stage of relative poverty:economic poverty, knowledge poverty, spiritual poverty, and information poverty. Based on this, it analyzes the advantages and difficulties of AI technology in helping education poverty alleviation. At present, in order to promote AI-assisted education poverty alleviation in China, there is a need to optimize the infrastructure construction of intelligent education and improve the construction of information privacy security system in schools in underdeveloped areas. It is also necessary to provide open platforms and services, and pay attention to cultivation of talents of AI.
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