Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts
Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts
复制标题
Zhorai：为儿童设计一个对话代理来探索机器学习概念
DOI：
10.1609/aaai.v34i09.7061
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发表时间：
2020
期刊：
影响因子：
13.7
通讯作者：
C. Breazeal
中科院分区：
文献类型：
--
作者：
Phoebe Lin;Jessica Van Brummelen;G. Lukin;Randi Williams;C. Breazeal
了解机器是如何学习的，对于孩子们开发有用的心理模型来探索人工智能(AI)和他们现在经常交互的智能设备至关重要。尽管孩子们非常熟悉与Siri和Alexa这样的对话代理进行对话，但孩子们对人工智能和机器学习的知识往往有限。我们利用他们现有的熟悉度，推出了Zhorai，这是一个旨在帮助幼儿了解机器学习方式的对话平台和课程。8至11岁的儿童通过对话培训代理，并了解知识是如何使用可视化表示的。本文描述了我们如何设计该课程，并以14名儿童为小组对其效果进行了评估。我们发现，该平台的对话方面增加了学习过程中的参与度，新颖的可视化有助于理解机器知识。因此，我们对Zhorai未来的迭代和向儿童教授AI的方法提出了建议。
Understanding how machines learn is critical for children to develop useful mental models for exploring artificial intelligence (AI) and smart devices that they now frequently interact with. Although children are very familiar with having conversations with conversational agents like Siri and Alexa, children often have limited knowledge about AI and machine learning. We leverage their existing familiarity and present Zhorai, a conversational platform and curriculum designed to help young children understand how machines learn. Children ages eight to eleven train an agent through conversation and understand how the knowledge is represented using visualizations. This paper describes how we designed the curriculum and evaluated its effectiveness with 14 children in small groups. We found that the conversational aspect of the platform increased engagement during learning and the novel visualizations helped make machine knowledge understandable. As a result, we make recommendations for future iterations of Zhorai and approaches for teaching AI to children.
展望 K-12 的人工智能：每个孩子都应该了解哪些关于人工智能的知识？
DOI：
10.1609/aaai.v33i01.33019795
发表时间：
2019
期刊：
Proceedings of the AAAI Conference on Artificial Intelligence
影响因子：
--
作者：
Touretzky, David;Gardner-McCune, Christina;Martin, Fred;Seehorn, Deborah
通讯作者：
Seehorn, Deborah