How do Elementary Students Conceptualize Artificial Intelligence?
How do Elementary Students Conceptualize Artificial Intelligence?
复制标题
小学生如何理解人工智能？
DOI：
10.1145/3408877.3439642
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lester, James
中科院分区：
文献类型：
--
作者：
Ottenbreit-Leftwich, Anne;Glazewski, Krista;Jeon, Minji;Hmelo-Silver, Cindy;Mott, Bradford;Lee, Seung;Lester, James
地球仪各国已经认识到人工智能（AI）在我们生活中的普遍性，以及教育我们的学生了解AI技术如何工作的重要性。例如，中国教育部已将人工智能纳入高中必修课程，包括一本试点教科书，向学生教授深度学习和识别等基本人工智能技术。然而，在小学阶段进行人工智能教育的例子较少，这些例子通常集中在决策、机器学习和编程上。我们最近开始开发自己的初级AI课程。为了开发课程，我们首先需要探索学生对人工智能的了解。虽然有一些关于小学生如何概念化人工智能的小型研究，但我们进行了一项研究，以调查10名9岁和10岁的学生如何概念化人工智能，重点是两个主要问题：（1）小学生如何概念化人工智能？(2)小学生对人工智能的体验是什么？学生？人工智能的定义往往集中在编程和机器人。学生们描述了人工智能的例子，包括机器人吸尘器，Siri/Alexa，YouTube和搜索引擎。他们还展示了一些关于AI设计和实现的误解。
Countries around the globe have acknowledged the pervasiveness of artificial intelligence (AI) in our lives and the importance of educating our students on how AI technologies work. For example, the Chinese education ministry has integrated AI into the mandatory high school curriculum, including a pilot textbook to teach students about the fundamental AI technologies like deep learning and recognition. However, there are fewer examples of AI education at the primary level, and these are typically focused on decision-making, machine learning, and programming. We have recently started to develop our own elementary AI curriculum. To develop the curriculum, we first needed to explore what students already knew about AI. Although there are a few small studies on how primary students conceptualize AI, we conducted a study to examine how 10 nine- and ten-year-old students conceptualized artificial intelligence by focusing on two main questions: (1) How do elementary students conceptualize artificial intelligence? (2) What are elementary students' experiences with artificial intelligence? Students? definitions of AI tended to focus on programming and robotics. Students described examples of AI that included robotic vacuums, Siri/Alexa, YouTube, and search engines. They also showcased some misconceptions around AI designs and implementations.