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English(EN) The Policy Deficit in AI x Social-Emotional Learning Research

研究发现:人工智能与社会情感学习研究存在重大政策缺失

一篇新发表在arXiv上的论文强调了人工智能(AI)与社会情感学习(SEL)交叉领域研究中存在的显著“政策缺失”。对65篇论文的审查发现,近四分之三的论文未能提及政策影响,常常陷入“技术解决方案主义”的陷阱,只关注技术潜力而忽视负责任的实施。作者们提议将政策考量作为核心方法论进行整合,并为研究人员和政策制定者提供了指导方针,以弥合AI创新与教育治理之间的差距。 AI

影响 凸显了将AI创新转化为可行的教育政策和实践的关键差距。

排序理由 该条目是一篇发表在arXiv上的研究论文,讨论了人工智能和社会情感学习中的政策影响。[lever_c_demoted from research: ic=1 ai=1.0]

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研究发现:人工智能与社会情感学习研究存在重大政策缺失

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该条目是一篇发表在arXiv上的研究论文,讨论了人工智能和社会情感学习中的政策影响。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tran Van Cuong, Liu Yihan, Nguyen Van Tuong ·

    人工智能与社会情感学习研究中的政策缺失

    arXiv:2608.29950v1 Announce Type: cross Abstract: As artificial intelligence (AI) is increasingly integrated into social-emotional learning (SEL) initiatives, the need for evidence-based policy has become paramount. We systematically reviewed 65 peer-reviewed papers that examine …