课题基金 / 基金详情

StEM: Stimulate, Engage and Motivate student research by enhancing the research capacity (CISE-MSI: RCBP-ED: IIS – III)

StEM: Stimulate, Engage and Motivate student research by enhancing the research capacity (CISE-MSI: RCBP-ED: IIS – III)
StEM:通过提高研究能力刺激、参与和激励学生研究(CISE-MSI:RCBP-ED:IIS – III)
批准号:
2131052
负责人:
Renu Balyan
金额:
$29.95万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30

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中文摘要
翻译
该奖项全部或部分由2021年美国救援计划法案(公法117-2)资助。在STEM领域攻读学位/职业的学生中,接触研究是完成学位和研究生教育成功的最佳预测因素之一。然而,只有一小部分本科生从事研究。这种缺乏参与已被归因于因素,如更多的应用经验的兴趣,缺乏对研究机会及其好处的认识,缺乏时间,缺乏兴趣,感知障碍与教师的互动,以及个人和经济障碍。由于代表性不足的少数群体很少参与,这一问题进一步恶化。此外,由于历史上研究人员的代表性不足,计算机科学的几个部门的偏见是显而易见的。重要的证据表明,从事研究的本科生建立信心和效能,激励他们追求先进的研究生水平的STEM课程,增加保留在具有高流失率的专业,并使他们适应研究环境的要求。此外,代表性不足的少数群体学生参与研究有利于该领域,因为它增强了STEM劳动力的多样性。该项目的目标是激励,吸引和激励研究生和本科生STEM学生,包括来自代表性不足的少数群体的学生,在不同领域进行数据研究,同时支持扩大和提高研究能力,为不同的学生群体和教师提供更多的研究机会。这一目标将通过以下三管齐下的方法实现:1)通过购买新设备来加强和扩大技术基础设施,以促进计算处理和大数据分析; 2)通过CURE将研究嵌入现有课程的课程中,并引入新的以研究为重点的计划和课程;以及3)通过学术界和行业专家的指导和指导,激励和吸引学生参与研究活动,并通过研究项目、培训、研讨会和讲习班提供实践经验。该奖项将提高STEM学生的学术和专业技能,特别是女性和其他代表性不足的少数民族学生,提供与经验丰富的研究导师合作并展示/出版他们的工作的机会,为长期加强学术课程创建教育材料,培养知识,促进发展技能,为学生的数据科学和大数据职业做好准备。该奖项反映了NSF的法定基金会的使命是履行其使命,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价,被认为值得支持。
英文摘要
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Exposure to research is one of the best predictors of degree completion and success in postgraduate education among students pursuing degrees/careers in STEM fields. However, only a small percentage of undergraduate students are engaged in research. This lack of participation has been attributed to factors such as interest in more applied experience, lack of awareness about research opportunities and their benefits, lack of time, lack of interest, perceived barriers to interactions with the faculty, and personal and financial barriers. The problem further aggravates with little participation from underrepresented minority groups. Additionally, biases in several sectors of computer science are evident due to the historical underrepresentation of researchers. Significant evidence shows that engaging undergraduate students in research builds confidence and efficacy, motivates them to pursue advanced graduate level STEM courses, increases retention in majors having high attrition rates, and acclimates them to the demands of a research environment. In addition, underrepresented minority groups students’ participation in research is beneficial to the field as it enhances diversity in the STEM workforce.The goal of this project is to stimulate, engage, and motivate graduate and undergraduate STEM students, including from underrepresented minority groups to conduct data research in different domains, while supporting expansion and enhancement of research capacity to provide more research opportunities to the diverse student population and the faculty. This goal will be achieved by following a three-pronged approach to 1) enhance and expand the technological infrastructure by acquiring new equipment to facilitate computational processing and big data analyses; 2) embed research within the curriculum for existing courses via CURE and introduce new research-focused programs and courses; and 3) motivate and engage students in research activities and provide hands-on experience via research projects, training, seminars, and workshops through guidance and mentoring by academia and industry experts. The award will improve the academic and professional skills of STEM students, in particular female and other underrepresented minority students, provide an opportunity to work with experienced research mentors and present/publish their work, create educational materials for long-term enhancement of academic curricula, and foster knowledge and promote the developmental skills to prepare students for data science and big data careers.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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Collaborative Research:CISE-MSI:RCBP-RF:CNS:Orchestration of Network Slicing for 5G-Enabled IoT Devices Using Reinforcement Learning
  • 批准号:
    2318636
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.26万
  • 财政年份:
    2023
  • 负责人:
    Renu Balyan
  • 依托单位:
Collaborative Research: CISE-MSI: DP: SCH: Privacy Preserving Tutoring System for Health Education of Low Literacy Hispanic Populations
  • 批准号:
    2219587
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.02万
  • 财政年份:
    2022
  • 负责人:
    Renu Balyan
  • 依托单位:
海外基金