Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, Sharon Mason
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引用次数: 0
摘要
为了更好地了解当前在 K-12 学校中使用人工智能(AI)所面临的挑战,一组研究人员(Raffaella Borasi、David E. Miller、Patricia Vaughan-Brogan、Karen DeAngelis、Yu Jung Han 和 Sharon Mason)于 2023 年底采访了纽约州西部的 36 位学校领导。他们所关注的不仅仅是潜在的作弊问题,而是确定了四个主要优先事项:接受指导,为人工智能决策提供依据;增强所有利益相关者的能力,使其更好地理解人工智能及其影响;利用人工智能支持教师和员工的工作;以及启用更好的技术解决方案。这些都应为未来在 K-12 教育中利用人工智能的干预措施提供参考。
To better understand the current challenges surrounding the use of artificial intelligence (AI) in K-12 schools, a team of researchers (Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, and Sharon Mason) interviewed 36 western New York school leaders in late 2023. Their concerns moved beyond potential cheating, as they instead identified four main priorities: receiving guidance to inform their decisions about AI, empowering all stakeholders to better understand AI and its implications, capitalizing on AI to support the work of teachers and staff, and enabling better technology solutions. These should inform future interventions aiming at leveraging AI in K-12 education.
期刊介绍:
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