Collaborative Research: A Semiconductor Curriculum and Learning Framework for High-Schoolers Using Artificial Intelligence, Game Modules, and Hands-on Experiences
Collaborative Research: A Semiconductor Curriculum and Learning Framework for High-Schoolers Using Artificial Intelligence, Game Modules, and Hands-on Experiences
批准号:
2342746
负责人:
Prabuddha Chakraborty
金额:
$41.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-06-01 至 2028-05-31
中文摘要
半导体是电子设备的重要组成部分,推动了通信、医疗保健和国家安全等重要应用和系统的发展。为了保持美国S在半导体行业的全球竞争力,对熟练的半导体劳动力的需求越来越大。高中生是电子设备最频繁的用户之一。然而,许多人不知道这些设备是如何设计和制造的。为了公平地解决知识差距和劳动力需求,该项目将与来自不同背景的高中生以及高等教育、K-12和行业的合作伙伴共同开发半导体课程,并利用人工智能(AI)和其他创新技术进行增强。将创建基于游戏的半导体模块,供学生与选择不同文化化身的同龄人玩耍和学习。这些学习模块将通过以游戏为基础的学习公司--项目合作者STEMILI向广泛的学生提供。此外,每年夏天(2-4年级)约有50名学生将参加在缅因州和德克萨斯州举办的面对面研讨会。通过这些研讨会,学生们将参与到半导体公司的实践活动和实地考察中,在那里他们将把基于游戏的学习与行业经验联系起来。根据学生的反馈,工作坊和游戏课程将进行迭代设计和改进。这一开发和测试创新(DTI)项目旨在通过基于游戏的创新学习平台、实践活动和行业实地考察,帮助高中生发展半导体领域的技能和职业兴趣。首要的研究问题是:AI Education ator(一种生成性AI教育工具)、基于游戏的学习和实践体验的设计和集成在多大程度上提供了平等的机会,并加强了学生在STEM职业生涯中的参与度、意识、兴趣和知识?AI教育者将为学生提供关于该主题的建议、帮助和额外的学习材料。AI组件将负责根据学生的兴趣、爱好和偏好调整输出内容,以使体验更具关联性。数据收集将包括学生的态度、游戏活动和动手学习结果。以设计为基础的研究方法将结合NASA任务负荷指数、t检验、访谈和调查,以了解学生的学习和游戏和工作坊课程的有效性。技术、教育学和内容知识(TPACK)框架将在整个人工智能和游戏技术集成到半导体课程和教育路径中使用和改进。该项目将以公平、可获得性、参与性和协作为重点,迎合不同背景的学生。该项目由学生和教师创新技术体验计划(ITEST)共同资助,该计划支持建立对实践、计划要素、背景和过程的理解的项目,有助于提高学生对科学、技术、工程和数学(STEM)以及信息和通信技术(ICT)职业的知识和兴趣。该项目还由推进非正式STEM学习(AISL)计划和探索研究预科-12(DRK-12)计划共同资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Semiconductors are essential components of electronic devices, enabling advances in important applications and systems such as communication, healthcare, and national security. In order to sustain the U.S.'s global competitiveness in the semiconductor industry, there is a growing demand for a skilled semiconductor workforce. High-schoolers are among the most frequent users of electronic devices. However, many do not know how these devices are designed and manufactured. To address the knowledge gaps and workforce needs equitably, this project will develop a semiconductor curriculum with high-school-aged students from diverse backgrounds, and with partners in higher education, K-12, and industries, enhanced with artificial intelligence (AI) and other innovative technologies. Game-based semiconductor modules will be created for students to play and learn with peers choosing culturally diverse avatars. These learning modules will be made available to a wide range of students through the project collaborator Stemuli, a game-based learning company. In addition, approximately 50 students each summer (years 2-4) will be engaged in in-person workshops hosted in Maine and Texas. Through these workshops, students will be engaged in hands-on activities and field trips to semiconductor companies where they will connect their game-based learning with industry experiences. Based on students' feedback, the workshop and game curriculum will be designed and improved iteratively. This Developing and Testing Innovations (DTI) project aims to help high-school students develop skills and career interests in the semiconductor fields through an innovative game-based learning platform, hands-on activities, and industry field trips. The overarching research question is: To what extent do the designs and integration of AI Educator(a generative AI tool for education), game-based learning, and hands-on experiences provide equitable access and strengthen students’ engagements, awareness, interests, and knowledge in STEM careers? The AI Educator will provide students with suggestions, assistance, and additional study materials about the subject matter. The AI component will be responsible for tuning the output content based on the student’s interests, hobbies, and preferences to make the experience more relatable. Data collection will include students’ attitudes, game activities, and hands-on learning outcomes. Design-based research methods will be used incorporating the NASA Task Load Index, t-test, interviews, and surveys to understand students’ learning and efficacy of the game and workshop curriculum. The Technology, Pedagogy, and Content Knowledge (TPACK) framework will be used and refined throughout the AI and game technology integrations into the semiconductor curriculum and education pathways. The project will be designed with a focus on equity, accessibility, engagement, and collaboration, catering to students from diverse backgrounds. This project is co-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. This project is also co-funded by the Advancing Informal STEM Learning (AISL) program and the Discovery Research PreK-12 (DRK-12) program.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.
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