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arXiv 2104.01266cs.HCcs.AI
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在K-12教育中设计人机互补

Designing for human-AI complementarity in K-12 education

Carnegie Mellon University(卡内基梅隆大学)

Kenneth Holstein, Vincent Aleven

摘要:

最近的工作探索了人类和人工智能(AI)系统的互补优势如何有效地结合起来。然而,人类与人工智能伙伴关系的成功形式很少在现实世界中得到证明。我们介绍了Lumilo的迭代设计和评估,Lumilo是一款智能眼镜,可以帮助教师通过实时分析学生的学习、元认知和行为,在人工智能支持的课堂上帮助学生。在K-12教室进行的实地研究结果表明,当教师和人工智能导师在课堂上一起工作时,学生会学到更多。我们讨论了这项研究对人类-AI伙伴关系设计的影响。我们主张在这一领域采取更具参与性的研究和设计方法,让从业者和其他利益相关者深入、有意义地参与整个过程。此外,我们提倡理论建设和原则性的方法来研究人类在现实世界中的决策。

英文摘要:

Recent work has explored how complementary strengths of humans and artificial intelligence (AI) systems might be productively combined. However, successful forms of human-AI partnership have rarely been demonstrated in real-world settings. We present the iterative design and evaluation of Lumilo, smart glasses that help teachers help their students in AI-supported classrooms by presenting real-time analytics about students' learning, metacognition, and behavior. Results from a field study conducted in K-12 classrooms indicate that students learn more when teachers and AI tutors work together during class. We discuss implications of this research for the design of human-AI partnerships. We argue for more participatory approaches to research and design in this area, in which practitioners and other stakeholders are deeply, meaningfully involved throughout the process. Furthermore, we advocate for theory-building and for principled approaches to the study of human-AI decision-making in real-world contexts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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