Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
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教授技术对话：K-12 对话式人工智能素养课程和开发工具
DOI：
10.1609/aaai.v35i17.17844
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发表时间：
2020
影响因子：
1.3
通讯作者：
Viktoriya Tabunshchyk
中科院分区：
文献类型：
--
作者：
Jessica Van Brummelen;Tommy Heng;Viktoriya Tabunshchyk
随着孩子们每天与智能扬声器、智能手机甚至智能微波炉交谈，教育学生这些代理如何工作--从潜在机制到社会影响--变得越来越重要。研究人员正在开发工具和课程，向K-12学生广泛传授人工智能(AI)；然而，很少有研究从特定于AI的学习结果来评估这些工具，更没有研究解决学生学习基于AI的对话代理的问题。我们根据文献中的8项人工智能能力评估了我们的MIT App Inventor和研讨会课程的对话代理界面。此外，我们使用界面分析了教师(n=9)和学生(n=47)对研讨会的反馈，并建议未来的工作(1)利用设计考虑因素来优化参与，(2)与教师合作，以及(3)通过步调和扩展机会满足学生的一系列能力。我们找到了学生理解所有8项能力的证据，其中最难的概念是人工智能伦理和机器学习。我们建议在未来的课程中强调这些主题。
With children talking to smart-speakers, smart-phones and even smart-microwaves daily, it is increasingly important to educate students on how these agents work—from underlying mechanisms to societal implications. Researchers are developing tools and curriculum to teach K-12 students broadly about artificial intelligence (AI); however, few studies have evaluated these tools with respect to AI-specific learning outcomes, and even fewer have addressed student learning about AI-based conversational agents. We evaluated our Conversational Agent Interface for MIT App Inventor and workshop curriculum with respect to 8 AI competencies from the literature. Furthermore, we analyze teacher (n=9) and student (n=47) feedback from workshops with the interface and recommend that future work (1) leverages design considerations to optimize engagement, (2) collaborates with teachers, and (3) addresses a range of student abilities through pacing and opportunities for extension. We found evidence for student understanding of all 8 competencies, with the most difficult concepts being AI ethics and machine learning. We recommend emphasizing these topics in future curricula.
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