RAPID: DRL AI: Non-digital Hands-on AI Learning Resources for Middle-School Students

RAPID：DRL AI：面向中学生的非数字实践人工智能学习资源

• 批准号: 2343693
• 负责人: Duri Long
• 金额: $ 15.6万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-12-15 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2343693&HistoricalAwards=false
• 关键词: RAPID; DRL; AI; Non; digital

Young learners need opportunities to build critical awareness surrounding AI. To rapidly expand inclusive access to AI education, K-12 educators need activities that (a) are low-cost, (b) do not require specialized technology, (c) can be led with little prior knowledge of AI and used in settings with time constraints and competing curricular needs, and (d) have clear learning objectives and tie-ins across disciplines. “Unplugged” activities that are playful, hands-on learning experiences that foster learning about AI without programming can address these constraints. This project will create a public repository of unplugged activities for fostering middle school aged youth’s age-appropriate understanding of AI. The aim is to broaden access to AI education, especially for learners underrepresented in STEM. This proposal was received in response to the Dear Colleague Letter (DCL): Rapidly Accelerating Research on Artificial Intelligence in K-12 Education in Formal and Informal Settings (NSF 23-097) and funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.The project team will explore three key research questions: 1) how can we design a set of unplugged activities that empower young adolescent learners to learn about AI through the lens of their own bodies and identities?; 2) How do adolescents and educators perceive unplugged AI literacy activities?; and 3) Are unplugged activities effective at fostering middle-school learners’ AI literacy, especially as it relates to AI’s impact on their lives? Researchers will engage in iterative design-based research to develop up to 15 unplugged activities that span a variety of AI literacy learning objectives and relevant cross-disciplinary connections. Research design includes interviews with 20 to 30 adults including teachers, parents, and after-school group leaders as well as 20-30 teens who will engage with the activities and offer feedback. Teens will additionally complete a retrospective post-test to assess learning. This project will contribute an open-source repository of AI literacy activities that will be widely disseminated amongst parents and educators. In addition, this project will contribute an evidence-based understanding of whether and how unplugged resources can support young adolescents’ learning about AI, including design recommendations that can be used to guide future interventions. This work will result in new theories about the ways in which adolescents learn about AI through their bodies and the lens of their personal identities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

年轻学习者需要机会建立对人工智能的批判意识，为了快速扩大人工智能教育的包容性，K-12 教育工作者需要 (a) 低成本、(b) 不需要专门技术、(c) 可以引导的活动。对人工智能知之甚少，并且在时间有限和课程需求相互竞争的环境中使用，并且（d）具有明确的学习目标和跨学科的“不插电”活动，这些活动是有趣的实践学习体验，可以促进学习。无需编程的人工智能就可以解决这些限制。将创建一个不插电活动的公共存储库，以促进中学生对人工智能的适龄理解，目的是扩大接受人工智能教育的机会，特别是针对 STEM 领域代表性不足的学习者。 DCL）：快速加速正式和非正式环境中 K-12 教育中的人工智能研究 (NSF 23-097)，并由创新技术经验资助学生和教师 (ITEST) 计划，支持加深对实践、计划要素、背景和流程的理解的项目，有助于增加学生对科学、技术、工程和数学 (STEM) 以及信息和通信技术 (ICT) 的知识和兴趣项目团队将探讨三个关键研究问题：1）我们如何设计一系列不插电的活动，使青少年学习者能够通过自己的身体和身份来了解人工智能？；2）青少年和教育工作者如何做？感知不插电的人工智能素养3）不插电活动是否能有效培养中学生的人工智能素养，特别是当它与人工智能对他们生活的影响有关时？研究人员将进行基于迭代设计的研究，开发多达 15 项涵盖各种人工智能的不插电活动。研究设计包括对 20 至 30 名成年人（包括教师、家长和课外小组领导）以及 20 至 30 名将参与读写能力学习的青少年进行访谈。青少年还将完成一项回顾性后测试来评估学习情况，该项目将提供一个人工智能素养活动的开源存储库，该存储库将在家长和教育工作者中广泛传播。基于对不插电资源是否以及如何支持青少年学习人工智能的理解，包括可用于指导未来干预措施的设计建议，这项工作将产生关于青少年通过身体和大脑学习人工智能的方式的新理论。的镜头该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。