HSI Implementation and Evaluation Project: Undergraduate Research Experiences in Machine Learning for First Generation Students

HSI 实施和评估项目：第一代学生的机器学习本科研究经验

• 批准号: 2345361
• 负责人: Sheng-Jen Hsieh
• 金额: $ 50万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2345361&HistoricalAwards=false
• 关键词: HSI; Implementation; Evaluation; Project; Undergraduate

HSI Implementation and Evaluation Project: Undergraduate Research Experiences in Machine Learning for First Generation Students With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Track 2 project aims to develop, implement, and evaluate a year-long program to provide machine learning-related research opportunities to first generation (FG) undergraduate STEM students. Relatively few undergraduate research programs have specifically targeted FG students. Participants will work on a research project with a faculty mentor, and participate in workshops focusing on research skills, current research topics, and how to apply for graduate school and jobs. Additionally, the program experience will also include participation in a learning community where program participants can work together, exchange ideas, and use shared resources. Participants will be strongly encouraged to present their research findings and experiences at regional and national level conferences. They will also attend a hands-on workshop to learn about machine learning and design/build a working model of an automated system. It is expected that these experiences will prepare FG students for success in graduate school and/or in careers related to problem-solving and machine learning.This project will provide an opportunity to conduct research on intersectional identities and needs of first-generation students who engage in undergraduate research. Although much work has been published on STEM research programs for undergraduate students, as well as on programs to help first generation students be successful in college and in STEM subjects, relatively little work has focused specifically on the needs of FG undergraduate participants in STEM research programs. However, first generation undergraduates who choose to participate in a STEM research program may have different needs and strengths than FG students who do not choose to engage in research. They are also likely different from continuing generation (CG) students who participate in undergraduate research. As a result, the types of support that FG researchers need to be successful may be different from the support needed by FG non-researchers or CG researchers. Expected outcomes include 1) a better understanding of the specific needs of FG undergraduate researchers and how to help them be successful; 2) increases in participants’ research and problem-solving skills, knowledge of machine learning as related to research, awareness of research-related careers and how to prepare for them, and increased self-efficacy; 3) acceptance into graduate programs or offers for research-related jobs; 4) publications in research-related journals and conference proceedings; 5) retention and graduation rates for program participants that exceed the average for other first generation students in STEM at their institution. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.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.

HSI 实施和评估项目：第一代学生的机器学习本科生研究经验 在改善本科 STEM 教育：西班牙裔服务机构（HSI 计划）的支持下，该轨道 2 项目旨在开发、实施和评估为期一年的项目该项目旨在为第一代 (FG) 本科 STEM 学生提供与机器学习相关的研究机会，而专门针对 FG 学生的本科研究项目则相对较少，参与者将与教师导师一起开展研究项目，并参加专注于研究技能的研讨会。 ,此外，项目经验还将包括参与学习社区，项目参与者可以在其中一起工作、交流想法并使用共享资源。他们还将参加一个实践研讨会，了解机器学习和设计/构建自动化系统的工作模型，预计这些经验将为 FG 学生的成功做好准备。研究生院和/或与解决问题和机器相关的职业该项目将为从事本科生研究的第一代学生的交叉身份和需求提供一个研究机会，尽管已经发表了很多关于本科生 STEM 研究项目以及帮助第一代学生的项目的工作。尽管学生在大学和 STEM 学科上取得成功，但专门关注 FG 本科生参与 STEM 研究项目的需求的工作相对较少。然而，选择参加 STEM 研究项目的第一代本科生可能有与 FG 不同的需求和优势。不选择从事研究的学生。他们也可能与参与本科研究的连续一代（CG）学生不同，因此，FG 研究人员成功所需的支持类型可能与 FG 非研究人员或 CG 研究人员所需的支持不同。预期成果包括 1) 更好地了解 FG 本科研究人员的具体需求以及如何帮助他们取得成功；2) 提高参与者的研究和解决问题的技能、与研究相关的机器学习知识和研究意识。 -相关职业以及如何为其做好准备，以及提高自我效能； 3） 接受研究生课程或接受研究相关工作； 4） 在研究相关期刊和会议论文集上发表文章； 5） 项目参与者的保留率和毕业率超过其他第一代学生的平均水平。 HSI 计划旨在加强 HSI 本科生 STEM 教育并建设能力。HSI 计划支持的项目也将产生有关如何实现这些目标的新知识。该奖项反映了 NSF 的法定使命，并被认为是值得的。支持通过使用基金会的智力价值和更广泛的影响审查标准进行评估。