Engaging Rural Students in Artificial Intelligence to Develop Pathways for Innovative Computing Careers

让农村学生接触人工智能，为创新计算职业开辟途径

• 批准号: 2148680
• 负责人: Bradford Mott
• 金额: $ 116.69万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148680&HistoricalAwards=false
• 关键词: Engaging; Rural; Students; Artificial; Intelligence

Advances in artificial intelligence (AI) are fundamentally reshaping the workplace of the future and accelerating the demand for creating and sustaining an AI-literate workforce. This growing demand has highlighted the importance for all K-12 students to develop an understanding of AI to prepare them for future careers. Middle school years are crucial in shaping youth dispositions toward STEM. There is an urgent need nationally to develop a deep educational understanding of how to engage students during these years in learning AI and how to train and support teachers in AI education. The need to provide AI learning experiences is especially pronounced in rural areas, where students often lack access to advanced STEM educational opportunities. This project will introduce AI concepts to middle school students and teachers through summer camps, workshops, and school-based programs in rural communities of North Carolina. Over the course of the project, through co-design cycles with students and teachers, the project will iteratively develop an AI learning environment. With a focus on fostering students' creative expression, the learning environment will infuse AI learning into interactive digital game design activities that enable students to create personally meaningful and relevant game scenarios. In partnership with Boys & Girls Clubs in North Carolina, the project will offer summer camps for youth from underrepresented and underserved populations. The project will investigate which AI principles and concepts in the context of learning digital game development are most appropriate and engaging, and what are the support and scaffolding that teachers will require in integrating AI education into their instructional designs. The project is 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 will provide AI learning experiences to over 500 middle school students and AI-focused professional development to more than 20 teachers. Researchers will address three research questions: (1) How can we create engaging AI learning experiences for diverse rural populations of middle school students through game design activities? (2) How do we best support teachers in integrating AI learning experiences in their school-based programs? and (3) What is the impact of the learning program on diverse populations of rural middle grade students' knowledge of AI concepts, attitudes toward AI, and interest in AI careers? The project will leverage a design-based research approach to iteratively refine the program called AI Play, including the AI concepts to be addressed, the features to incorporate in the learning environment, and the scaffolding tools and pedagogical approaches to utilize. The research will use a combination of quantitative and qualitative methods such as surveys, assessments, analysis of student artifacts, focus groups, and field observations to determine how the program impacts targeted outcomes for students and teachers. The deliverables of the project will include the AI Play program model and its associated curricular materials, the professional development model and its associated materials, the AI Play community website, and the research findings from the project. The aims of the project are to build knowledge on how to best help rural students develop foundational knowledge of AI concepts, how to promote meaningful explorations of AI for rural students, and design principles for creating engaging AI learning experiences that lead to increased student interest in AI-intensive fields.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.

人工智能（AI）的进步正在从根本上重塑未来的工作场所，并加速了创造和维持人工智能劳动力的需求。这种不断增长的需求凸显了所有K-12学生对AI的理解的重要性，以帮助他们为未来的职业生涯做好准备。中学时代对于塑造年轻人对STEM的倾向至关重要。在全国范围内，迫切需要深入了解如何让学生在这些年里学习人工智能，以及如何培训和支持人工智能教育的教师。提供人工智能学习体验的需求在农村地区尤为突出，那里的学生往往无法获得先进的STEM教育机会。该项目将通过夏令营、研讨会和北卡罗来纳州农村社区的校本项目向中学生和教师介绍人工智能概念。在项目过程中，通过与学生和教师的共同设计周期，该项目将迭代开发人工智能学习环境。该学习环境着重培养学生的创意表达，将人工智能学习融入互动数码游戏设计活动，让学生创造有个人意义和相关的游戏场景。该项目将与北卡罗来纳州的男孩女孩俱乐部合作，为代表性不足和服务不足人口的青年提供夏令营。该项目将调查在学习数字游戏开发的背景下，哪些人工智能原则和概念是最合适和最吸引人的，以及教师将人工智能教育整合到教学设计中所需的支持和脚手架是什么。该项目由学生和教师创新技术体验（ITEST）计划资助，该计划支持建立对实践，计划元素，背景和过程的理解的项目，有助于增加学生对科学，技术，工程，信息和通信技术（ICT）该项目将为500多名中学生提供人工智能学习体验，并为20多名教师提供以人工智能为重点的专业发展。研究人员将解决三个研究问题：（1）如何通过游戏设计活动为不同的农村中学生群体创造引人入胜的人工智能学习体验？(2)我们如何最好地支持教师将人工智能学习经验整合到他们的校本课程中？以及（3）学习计划对不同人群的农村初中生的人工智能概念知识、对人工智能的态度和对人工智能职业的兴趣有何影响？该项目将利用基于设计的研究方法来迭代地改进称为AI Play的程序，包括要解决的AI概念，纳入学习环境的功能，以及要利用的脚手架工具和教学方法。该研究将使用定量和定性方法相结合，如调查，评估，学生文物分析，焦点小组和实地观察，以确定该计划如何影响学生和教师的目标成果。该项目的可交付成果将包括AI Play计划模型及其相关课程材料、专业发展模型及其相关材料、AI Play社区网站以及项目的研究成果。该项目的目的是建立关于如何最好地帮助农村学生发展人工智能概念的基础知识，如何促进农村学生对人工智能的有意义的探索，和设计原则，以创造引人入胜的人工智能学习体验，从而提高学生对人工智能的兴趣-该奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的支持，知识价值和更广泛的影响审查标准。

项目成果

Supporting Student Engagement in K-12 AI Education with a Card Game Construction Toolkit

使用卡牌游戏构建工具包支持学生参与 K-12 人工智能教育

• DOI: 10.1145/3626253.3635550
• 发表时间: 2024
• 期刊: ACM
• 作者: Lim, Hansol;Min, Wookhee;Vandenberg, Jessica;Cateté, Veronica;Uchidiuno, Judith;Mott, Bradford
• 通讯作者: Mott, Bradford

Toward AI-infused Game Design Activities for Rural Middle Grades Students

面向农村中学生的人工智能游戏设计活动

• DOI: 10.1145/3587103.3594199
• 发表时间: 2023
• 期刊: ACM
• 作者: Vandenberg, Jessica;Min, Wookhee;Gupta, Anisha;Catete, Veronica;Boulden, Danielle;Mott, Bradford
• 通讯作者: Mott, Bradford

Exploring the AI Experiences of Rural Students and Teachers: A Sociocultural Perspective

探索农村学生和教师的人工智能体验：社会文化视角

• 发表时间: 2023
• 期刊: International Society of the Learning Sciences
• 作者: Vandenberg, Jessica;Boulden, Danielle;Catete, Veronica;Min, Wookhee;Mott, Bradford
• 通讯作者: Mott, Bradford

Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities

利用游戏设计活动促进农村社区的中年级人工智能教育

• 发表时间: 2023
• 期刊: Foundations of Digital Games
• 作者: Vandenberg, Jessica;Min, Wookhee;Catete, Veronica;Boulden, Danielle;Mott, Bradford
• 通讯作者: Mott, Bradford

Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game

不插电 K-12 人工智能学习：通过面部识别游戏探索表征和推理

• DOI: 10.1609/aaai.v38i21.30376
• 发表时间: 2024
• 期刊: Proceedings of the AAAI Conference on Artificial Intelligence
• 作者: Lim, Hansol;Min, Wookhee;Vandenberg, Jessica;Cateté, Veronica;Mott, Bradford
• 通讯作者: Mott, Bradford