Targeted Infusion Project: Integrating Artificial Intelligence in Computer Science majors at Hampton University
有针对性的注入项目:将人工智能融入汉普顿大学计算机科学专业
基本信息
- 批准号:1912323
- 负责人:
- 金额:$ 39.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-15 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Hampton University will enhance undergraduate education in the Computer Science department to prepare students to meet the needs of the workforce related to Artificial Intelligence (AI) or advanced studies in AI. Undergraduate students are involved in the project as researchers and peer tutors. The key goal of this project is to integrate artificial intelligence modules and assignments into core computer science courses to increase students' career preparation, knowledge, and professional skills related to an area of artificial intelligence. The three specific activities will be to: develop artificial intelligence modules and course-relevant assignments; reform the core computer science courses; and enhance the current advanced elective courses, such as Artificial Intelligence, Machine Learning, and Data Science. The project will disseminate its findings widely and have significant broader impacts on the education of African American computer science majors.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.
历史上的黑人学院和大学本科生计划(HBCU-UP)通过有针对性的输液项目支持开发,实施和基于证据的创新模式和方法的研究,以提高HBCU本科生的准备和成功,使他们可以追求科学,技术,工程或数学(STEM)研究生课程和/或职业。汉普顿大学的该项目将加强计算机科学系的本科教育,使学生做好准备,以满足与人工智能(AI)或人工智能高级研究相关的劳动力的需求。本科生作为研究人员和同伴导师参与该项目。该项目的主要目标是将人工智能模块和作业整合到核心计算机科学课程中,以增加学生与人工智能领域相关的职业准备,知识和专业技能。这三项具体活动将是:开发人工智能模块和课程相关作业;改革核心计算机科学课程;并加强目前的高级选修课程,如人工智能,机器学习和数据科学。 该项目将广泛传播其研究结果,并对非裔美国人计算机科学专业的教育产生更广泛的影响。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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jean Muhammad其他文献
Jean Muhammad的其他文献
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{{ truncateString('Jean Muhammad', 18)}}的其他基金
Collaborative Research: CUE-T: HBCU Learning Community-based Intervention in Computing
合作研究:CUE-T:HBCU 学习基于社区的计算干预
- 批准号:
2245975 - 财政年份:2023
- 资助金额:
$ 39.99万 - 项目类别:
Continuing Grant
HBCU Workshops on Building Capacity for Research in Computing and Data Science
HBCU 计算和数据科学研究能力建设研讨会
- 批准号:
2041150 - 财政年份:2020
- 资助金额:
$ 39.99万 - 项目类别:
Standard Grant
HBCU-UP TIP: Increasing and Retaining Computer Science majors at Hampton University through Computational Thinking and Curriculum Reformation
HBCU-UP 提示:通过计算思维和课程改革增加和保留汉普顿大学计算机科学专业的学生
- 批准号:
1332508 - 财政年份:2013
- 资助金额:
$ 39.99万 - 项目类别:
Standard Grant
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