Principles for AI Education for Elementary Grades Students
Principles for AI Education for Elementary Grades Students
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小学生人工智能教育原则
DOI：
10.1145/3502717.3532143
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Lester, James
中科院分区：
文献类型：
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作者：
Ottenbreit-Leftwich, Anne;Glazewski, Krista;Jeon, Minji;Jantaraweragul, Katie;Hmelo-Silver, Cindy;Scribner, Adam;Lee, Seung;Mott, Bradford;Lester, James
人工智能正开始改变社会的方方面面。随着人工智能的急剧增加，K-12学生需要做好了解人工智能的准备。为了成功地成为未来的工作者、创造者和创新者，学生们必须在小学时就被介绍给人工智能的核心概念。然而，构建一门向K-12学生介绍人工智能内容的课程面临着重大挑战，例如连接到先前的知识，以及开发对学生有意义并可能让教师授课的课程。为了为小学人工智能教育奠定基础，我们对小学教师和学生进行了一项关于人工智能课程方法设计的定性研究。对小学教师和学生的采访提出了四个设计原则，以创建有效的小学人工智能课程，以促进教师的理解。这个例子将介绍与教师共同设计的课程(PRIMARYAI)，并描述这四个要素是如何融入现实世界中以问题为基础的学习场景的。
AI is beginning to transform every aspect of society. With the dramatic increases in AI, K-12 students need to be prepared to understand AI. To succeed as the workers, creators, and innovators of the future, students must be introduced to core concepts of AI as early as elementary school. However, building a curriculum that introduces AI content to K-12 students present significant challenges, such as connecting to prior knowledge, and developing curricula that are meaningful for students and possible for teachers to teach. To lay the groundwork for elementary AI education, we conducted a qualitative study into the design of AI curricular approaches with elementary teachers and students. Interviews with elementary teachers and students suggests four design principles for creating an effective elementary AI curriculum to promote uptake by teachers. This example will present the co-designed curriculum with teachers (PRIMARYAI) and describe how these four elements were incorporated into real-world problem-based learning scenarios.