Artificial Intelligence For All: A Framework for a College Certificate

迈阿密戴德学院(MDC)的这一实施和评估项目旨在通过提高社区学院开发和提供人工智能(AI)课程的能力来服务于国家利益，并利用全民人工智能项目提供人工智能课程。MDC计划通过在AI框架中创建大学学分证书来吸引和培训更多的AI学生。该项目的创新特征包括HSI社区学院改编最初为四年制大学课程开发的人工智能课程，并将这些课程与多个入口和支持相结合，以吸引学生参与，如训练营、研讨会和辅导。跨学科的关注将允许在MDC的学院和项目中编织人工智能参与，为学生提供人工智能的基础素养，这将为他们所走的职业道路提供信息。长期影响将包括提高非计算机科学专业学生对人工智能课程的认识和参与度，在HSI社区学院开发一个四年制人工智能学位；扩大历史上在计算机职业生涯中代表性不足的群体的参与。该项目的目标是开发人工智能课程和跨学科证书，从而导致学生取得成功，同时建设能力，在HSI社区学院发展一个四年制人工智能学位。STEM教育研究将探索所有项目活动中参与人工智能的学生的计算身份发展，研究多个进入证书计划的入口点和途径如何建立STEM身份和人工智能自我效能，特别是在黑人和西班牙裔学生中。这些发现将为MDC在其他计算机科学学位课程中继续工作的计算机科学教育实践和政策提供参考。它还将为其他HSI社区学院开发人工智能项目的工作提供参考。这项研究将对寻求提高拉美裔和黑人学生攻读计算机科学学位的成功的大学有价值。项目评估将审查MDC与其合作伙伴之间的合作过程，这些发现将有助于MDC未来的合作，以及那些希望探索这种合作类型的其他社区学院的合作。改善本科生STEM教育：拉美裔服务机构计划(HSI计划)旨在加强本科生STEM教育，扩大对STEM的参与，并建设HSIS的能力。鉴于高等教育机构的不同性质和背景，实现这些目标需要创新的方法来激励机构和社区的变革，并促进基础研究(I)关于学生参与式学习，(Ii)关于如何有效地多样化和增加对STEM的参与，以及(Iii)提高我们对如何在高等教育机构建设机构能力的理解。HSI计划支持的项目也将从这些方法中获得如何实现这些目标的新知识。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。

This implementation and evaluation project from Miami Dade College (MDC) aims to serve the national interest by increasing community colleges’ capacity to develop and offer courses in artificial intelligence (AI) with the AI for All project. MDC plans to attract and train more students in AI by creating a College Credit Certificate in AI Framework. Innovative features of the project include an HSI community college adapting AI courses originally developed for a four-year university program and combining them with multiple on-ramps and supports for engaging students such as bootcamps, workshops, and mentoring. The interdisciplinary focus will allow for weaving AI engagement across MDC’s colleges and programs providing students with a foundational literacy of AI that will inform whatever career path they follow. The long-term impacts will include increasing awareness and engagement for non-computer science students in AI courses, developing a four-year AI degree at an HSI community college; and broadening participation of groups historically underrepresented in computing careers.The project’s goal is to develop AI courses and an interdisciplinary certificate that will lead to successful student outcomes, while building capacity for the development of a four-year degree in AI at an HSI community college. The STEM education research will explore the computing identity development of students participating in the AI for All project activities, examining how multiple entry points into and paths through the certificate program function to build STEM identity and AI self-efficacy, particularly in Black and Hispanic students. The findings will inform computer science education practices and policies for MDC’s continued work across other computer science degree programs. It will also inform the work of other HSI community colleges developing AI programs. This research will be of value to universities seeking to increase the success of their Hispanic and Black students pursuing degrees in computer science. The project evaluation will examine the collaboration process between MDC and its partners and those findings will help inform MDC’s future collaborations, and those of other community colleges who would like to explore these types of partnerships. The Improving Undergraduate STEM Education: Hispanic-serving Institutions Program (HSI Program) aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs. Achieving these aims, given the diverse nature and context of HSIs, requires innovative approaches that incentivize institutional and community transformation and promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs. Projects supported by the HSI Program will also draw from these approaches to generate new knowledge on how to achieve these aims.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.