Collaborative Research: Broadening Inclusive Participation in Artificial Intelligence Undergraduate Education for Social Good Using A Situated Learning Approach

合作研究：利用情景学习方法扩大人工智能本科教育的包容性参与以造福社会

• 批准号: 2142439
• 负责人: Frank Gomez
• 金额: $ 9.68万
• 依托单位: California State University, Trustees
• 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: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2142439&HistoricalAwards=false
• 关键词: Collaborative; Research; Broadening; Inclusive; Participation

This project aims to serve the national interest by improving college-level education in artificial intelligence (AI). Advances in AI will likely improve transportation, education, healthcare, and other societal issues. It is important that college students gain skills in AI to prepare them to be future leaders and innovators. However, current AI education lacks both broad multidisciplinary participation and diversity. The project plans to develop and implement strategies for improving education in AI that are available to all students, not just those enrolled in computer science programs. To do so, the project team hopes to develop materials that identify social problems and teach students to apply AI concepts and methods to address these problems. As a result, this project may better prepare today’s college students to enter the STEM workforce of the future.The project intends to develop AI learning modules to stimulate AI learning in students’ communities. The students will be trained how to identify social problems. The instructors will teach students AI concepts and applications through hands-on AI labs. The students will learn how to propose AI-powered solutions to address social issues considering both benefits and risks. The interdisciplinary AI For Social Good (AI4SG) modules will be implemented in the programs of management information systems, geography, and computer science at three California State University campuses. The team plans to host an annual workshop to showcase student projects and disseminate best practices of AI4SG education. The project will use both quantitative and qualitative research methods and hopes to generate evidence on how AI4SG education, through culturally responsive computing, can impact motivation, learning outcomes, innovation, and equity gaps. This project is supported by the NSF IUSE: EHR Program, which supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools. Additional support is provided by the NSF IUSE:HSI program, which seeks to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs.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.

该项目旨在通过“教育情报”（AI）为国家的利益，这是VE运输，教育，医疗保健和其他社会的发行AI教育缺乏BothidIdiD学科的参与度和多样性结果，这个项目可以为当今的大学生做好准备，该项目打算开发AI学习模块以刺激学生的社区。通过实验室实验室，学生将如何处理AI的解决方案。 Tree Calieveria State University的地理学和计算机科学计划举办年度研讨会，以展示AI4SG教育的学生项目NSF IUSE：EHR计划的支持，该计划支持研究和开发项目，以提高所有学生的STEM教育的效力由NSF IUSE提供：该奖项旨在增强E STEM教育，扩大对STEM的参与并在HSIS建立Capace。该奖项反映了NSF的法定任务，并通过基金会的智力优点和更广泛的影响评估了NSF的法定任务，并在支持方面得到了更大的支持。 。