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Targeted Infusion Project: Providing a Data Science and Analytics approach to the Honors Curriculum at Howard University

Targeted Infusion Project: Providing a Data Science and Analytics approach to the Honors Curriculum at Howard University
有针对性的注入项目:为霍华德大学的荣誉课程提供数据科学和分析方法
批准号:
2306799
负责人:
LaTanya Brown-Robertson
金额:
$39.94万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31

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中文摘要
翻译
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,实施和研究以证据为基础的创新模式和方法,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。该项目的目标是将数据科学和分析(DSA)纳入霍华德大学文理学院的荣誉课程和课外活动,针对化学,生物学,数学,心理学,政治学和经济学等学科。该项目的DSA内容开发活动将以基于能力的教育和基于问题的学习的结合为指导,两者都被认为是吸引和留住高成就学生的高影响力做法。该项目将开发四个模块-介绍数据科学和研究方法;数据转换和分析;数据可视化和机器学习;以及人工智能-包括令人兴奋和创新的方法,任务,项目和经验。该课程将每年为400多名COAS荣誉学生提供应用研究和STEM相关研究生院的机会,并最终培养多样化的DSA劳动力。该项目还将为在STEM和其他领域历史上代表性不足的本科生提供研究机会,以解决影响当地和全球少数民族社区的健康,经济和环境问题,使用DSA来确定当前和未来的解决方案。此外,该项目还将为两批荣誉学生研究人员提供DSA海外研究经验,他们将前往加纳,将DSA研究集中在健康差异,性别平等和环境正义三个主题领域。研究结果将传播给更广泛的研究界和决策者(通过会议和出版物),使政策和提供解决方案,影响全球少数群体community.This奖项反映了NSF的法定使命,并已被认为是值得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的支持。
英文摘要
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 goal of this project is to incorporate data science and analytics (DSA) into the honors curriculum and co-curricular experiences in the College of Arts and Science at Howard University, targeting the disciplines of Chemistry, Biology, Mathematics, Psychology, Political Science and Economics.This project’s DSA content development activities will be guided by the incorporation of Competency-Based Education and Problem-Based Learning, both regarded as high impact practices that attract and retain high-achieving students. The project will develop four modules – Introduction to Data Science and Research Methodology; Data Transformation and Analytics; Data Visualization and Machine Learning; and Artificial Intelligence – that include exciting and innovative methods, assignments, projects, and experiences. The curriculum will prepare over 400 COAS Honors students annually for applied research and STEM-related graduate school opportunities and ultimately develop a diverse DSA workforce. The project will also provide research opportunities for undergraduate students historically underrepresented in STEM and other fields to address health, economic, and environmental issues impacting local and global minority communities, using DSA to identify current and future solutions. In addition, the project will offer a DSA research study abroad experience for two cohorts of honor student researchers to travel to Ghana to incorporate DSA research focusing on the three theme areas of Health Disparities, Gender Equity, and Environmental Justice. The research findings will be disseminated to the broader research community and policymakers (through conferences and publications) to bring policies and provide solutions impacting minority communities globally.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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