Developing a Computing Application Minor and an Inclusive Learning Environment to Build the Diverse, Multidisciplinary Computer Science Workforce of the Future

开发计算机应用辅修课程和包容性学习环境，以打造未来多元化、多学科的计算机科学劳动力队伍

• 批准号: 1821422
• 负责人: Ilmi Yoon
• 金额: $ 130.74万
• 依托单位: San Francisco State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821422&HistoricalAwards=false
• 关键词: Developing; Computing; Application; Minor; Inclusive

This project aims to address two pressing needs in STEM education: 1) increasing the number of students graduating with expertise in data and computer science; and 2) improving diversity in STEM fields. The project team at San Francisco State University (SFSU) will achieve these goals by developing and implementing a Computing Application minor. This minor will use evidence-based approaches to attract, retain, and support students, with attention to students from groups that are underrepresented in computer/data science, including female students. By tailoring activities to students' majors, the project expects to increase student engagement and help students experience how data and computer science are applied in their majors and future professions. Students in the minor will have opportunities to work with local industry and governmental agencies. In addition, this project will link to the NSF INCLUDES project at SFSU. As a result, the Computing Application minors will be able to work with high school students as computer science mentors and role models. These experiences can support development of critical skills, including leadership. The project aims to provide a sustainable and scalable model for introducing data and computer science to science majors that can be adopted by other institutions, and that can broaden participation in those fields.The Computing Application minor will be a four-semester, five-course sequence designed for STEM students who have no prior computer/data science knowledge and who are taking a full course load in their major. The project will provide participating students with learning experiences related to their majors, train computer science faculty in evidence-based science teaching methods, and invite students to share their knowledge with the K-12 community. To reduce stereotype threat and imposter syndrome, the project will employ a cohort-based structure that uses peer, faculty, and industry mentors to create a nurturing and supportive community of learners. The project will identify pedagogies that promote students' interest in computer/data science and their motivation to use it in their majors. These research results can inform other efforts to broaden the diversity of people who have computational expertise, and who decide to pursue graduate degrees and careers in computer/data science.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.

该项目旨在解决STEM教育的两个迫切需求：1）增加具有数据和计算机科学专业知识的毕业生人数; 2）提高STEM领域的多样性。在旧金山弗朗西斯科州立大学（SFSU）的项目团队将通过开发和实施计算应用未成年人实现这些目标。 这个未成年人将使用基于证据的方法来吸引，留住和支持学生，并注意来自计算机/数据科学代表性不足的群体的学生，包括女学生。通过为学生的专业量身定制活动，该项目预计将提高学生的参与度，并帮助学生体验数据和计算机科学如何在他们的专业和未来的职业中应用。未成年人的学生将有机会与当地行业和政府机构合作。 此外，该项目将链接到SFSU的NSF INCLUDES项目。 因此，计算应用未成年人将能够与高中学生作为计算机科学导师和榜样。这些经验可以支持关键技能的发展，包括领导力。 该项目旨在提供一个可持续和可扩展的模式，将数据和计算机科学引入科学专业，可以被其他机构采用，并可以扩大这些领域的参与。计算应用未成年人将是一个四学期，五门课程的序列，专为STEM学生谁没有以前的计算机/数据科学知识，谁正在采取他们的专业的全部课程负荷。该项目将为参与学生提供与其专业相关的学习经验，培训计算机科学教师循证科学教学方法，并邀请学生与K-12社区分享他们的知识。为了减少刻板印象的威胁和冒名顶替者综合症，该项目将采用基于队列的结构，使用同行，教师和行业导师创建一个培养和支持学习者的社区。该项目将确定促进学生对计算机/数据科学的兴趣及其在专业中使用它的动机的方法。 这些研究成果可以为其他努力提供信息，以扩大拥有计算专业知识的人的多样性，以及决定攻读计算机/数据科学研究生学位和职业的人。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Computer science attitudes in first-generation college students.

第一代大学生的计算机科学态度。

• 发表时间: 2021
• 期刊: National Association of School Psychologists
• 作者: Mayorga, M.;Lynn, A.;Perez, V.;Tjiptamustika, N.;Ihorn, S.
• 通讯作者: Ihorn, S.

Expanding and Sustaining Education Programs beyond the Nsf Support Period

在 NSF 支持期之后扩大和维持教育计划

• 发表时间: 2023
• 期刊: Proceedings ASEE annual conference
• 作者: Ihorn, S.;Kulkarni, A.;Savvides, M.;Yoon, I.
• 通讯作者: Yoon, I.

Attitudes and self-efficacy in computer science education.

计算机科学教育中的态度和自我效能。

• 发表时间: 2021
• 期刊: American Psychological Association
• 作者: Guzman, D.;Nguyen, L.;Imroz, A.;Ihorn, S.
• 通讯作者: Ihorn, S.

Stereotype threat in computer science

计算机科学中的刻板印象威胁

• 发表时间: 2020
• 期刊: American Psychological Association Annual Convention
• 作者: Lynn, A.

Self-efficacy in computer science: The role of gender and race

计算机科学中的自我效能：性别和种族的作用

• 发表时间: 2020
• 期刊: American Psychological Association Annual Convention
• 作者: Urias, G.