Principles for AI Education for Elementary Grades Students

Anne T. Ottenbreit-Leftwich, Krista D. Glazewski, Min-Kyung Jeon, Katie Jantaraweragul, C. Hmelo‐Silver, Adam Scribner, S. J. Lee, Bradford W. Mott, James Lester
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引用次数: 1

Abstract

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.
小学学生人工智能教育原则
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长,K-12学生需要做好理解人工智能的准备。为了成为未来的劳动者、创造者和创新者,学生们必须从小学开始就学习人工智能的核心概念。然而,建立一个向K-12学生介绍人工智能内容的课程面临着重大挑战,例如连接先前的知识,以及开发对学生有意义并且可能对教师有意义的课程。为了为基础人工智能教育奠定基础,我们与小学教师和学生一起对人工智能课程方法的设计进行了定性研究。对小学教师和学生的访谈提出了创建有效的小学人工智能课程的四个设计原则,以促进教师的吸收。本例将展示与教师共同设计的课程(PRIMARYAI),并描述如何将这四个要素纳入现实世界中基于问题的学习场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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