Evaluation of an Online Intervention to Teach Artificial Intelligence with LearningML to 10-16-Year-Old Students
Evaluation of an Online Intervention to Teach Artificial Intelligence with LearningML to 10-16-Year-Old Students
复制标题
通过 LearningML 向 10-16 岁学生教授人工智能的在线干预评估
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
G. Robles
中科院分区：
文献类型：
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作者：
J. D. Rodríguez;J. Moreno;Marcos Román;G. Robles
世界各地的国际组织和政府越来越强调将人工智能（AI）纳入教育，作为在社会中采用AI的基石。这就是为什么我们开发了LearningML，旨在提供一个平台，支持教育工作者和学生创建实践AI项目，特别是基于机器学习技术。在这项调查中，我们探讨了人工智能研讨会和使用LearningML创建编程项目如何影响10至16岁学生的人工智能知识。135名参与者完成了学习体验的所有阶段，由于COVID-19疫情，这些学习体验必须在网上进行。为了评估人工智能知识，我们创建了一个测试，其中包括基于以前的调查和出版物的不同类型的问题-从而产生了一个可靠的评估工具。我们的研究结果表明，该倡议对参与者产生了积极的影响？人工智能知识，对于那些最初对该主题不太熟悉的学习者来说，这一增强尤为重要。例如，我们观察到，虽然以前关于人工智能的想法都围绕着机器人这个术语，但在经历了这些之后，它们都围绕着解决问题。基于这些结果，我们认为LearningML可以被视为K-12环境中AI教学和学习的一个有前途的平台。此外，研究人员和教育工作者可以利用我们提供的新工具来评估未来的教育干预措施。
The inclusion of artificial intelligence (AI) in education is increasingly highlighted by international organizations and governments around the world as a cornerstone to enable the adoption of AI in society. That is why we have developed LearningML, aiming to provide a platform that supports educators and students in the creation of hands-on AI projects, specifically based on machine learning techniques. In this investigation we explore how a workshop on AI and the creation of programming projects with LearningML impacts the knowledge on AI of students between 10 and 16 years. 135 participants completed all phases of the learning experience, which due to the COVID-19 pandemic had to be performed online. In order to assess the AI knowledge we created a test that includes different kinds of questions based on previous investigations and publications - resulting in a reliable assessment instrument. Our findings show that the initiative had a positive impact on participants? AI knowledge, being the enhancement especially important for those learners who initially showed less familiarity with the topic. We observe, for instance, that while previous ideas on AI revolve around the term robot, after the experience they do around solve and problem. Based on these results we suggest that LearningML can be seen as a promising platform for the teaching and learning of AI in K-12 environments. In addition, researchers and educators can make use of the new instrument we provide to evaluate future educational interventions.
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：
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作者：
Touretzky, David;Gardner-McCune, Christina;Martin, Fred;Seehorn, Deborah
通讯作者：
Seehorn, Deborah