Collaborative Research: Scaling the Early Research Scholars Program

合作研究：扩大早期研究学者计划

• 批准号: 1821521
• 负责人: Christine Alvarado
• 金额: $ 74.02万
• 依托单位: University of California-San Diego
• 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=1821521&HistoricalAwards=false
• 关键词: Collaborative; Research; Scaling; Early; Scholars

Enrollment in computer science (CS) programs across the nation is higher than ever, yet two critical problems persist. First, despite these high enrollments, relatively few U.S. students are continuing on to graduate school. Maintaining and improving the health of the domestic Ph.D. pipeline is a concern of universities, companies, and government agencies. Second, the population of students pursuing CS degrees is not representative of the diversity of people in the U.S., with women and other groups persistently underrepresented. The Early Research Scholars Program (ERSP) aims to address issues of increasing the Ph.D. pipeline and broadening participation in computer science fields. ERSP is an academic-year, team-based research apprenticeship program that places special emphasis on mentoring women and underrepresented groups in the second year of the CS major. ERSP's mentoring framework includes the research mentor and the ERSP central mentoring team, providing multifaceted support for each student. In addition, it is structured to engage a large number of early CS students in a productive, positive CS research experience without imposing undue work on individual research advisors. By engaging students in early research, ERSP aims to increase their retention at the undergraduate level and recruitment into graduate programs. The project has been running successfully at University of California San Diego for four years. This project will expand ERSP to other universities, including Stanford University, the University of California, Santa Barbara, and the University of Illinois at Chicago. The project will also study the outcomes of ERSP on the student and faculty participants at all institutions. This project has two parts: expansion of ERSP and evaluation of the impact of ERSP on participants. Initially, ERSP will be implemented at three research-intensive schools with a range of undergraduate admission criteria. Each implementation will be tailored to the specific context of the institution, providing a range of implementation structures as models for how ERSP might be successfully implemented. After this initial expansion phase, the project plans to partner with two additional schools to explore how ERSP could be implemented at less research-intensive universities (e.g., masters institutions). The second part of this project is research on the long-term impact of ERSP on student participants. Specifically, the project seeks to assess whether ERSP promotes the following among participants: a sense of connection with the computing community, short-term and long-term engagement in research, CS knowledge, and persistence in computing. Evaluators at the Center for Evaluating the Research Pipeline will use their national survey infrastructure to collect experiential data from ERSP students vs. non-ERSP students, as the students progress through college and after they leave college. These evaluators will also conduct interviews with ERSP program leaders, faculty mentors, and students, and control faculty and students who are not participating in ERSP. These interviews will supplement the survey data, and help the ERSP team better understand ERSP impact, as well as identify new challenges and opportunities for program improvement.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.

全国计算机科学（CS）课程的入学率比以往任何时候都高，但两个关键问题仍然存在。 首先，尽管入学率很高，但相对而言，很少有美国学生继续攻读研究生。 保持和改善国内博士的健康。管道是大学、公司和政府机构关注的问题。其次，攻读计算机科学学位的学生人数并不能代表美国人口的多样性，妇女和其他群体的代表性一直不足。 早期研究学者计划（ERSP）旨在解决增加博士学位的问题。管道和扩大参与计算机科学领域。ERSP是一个学年，以团队为基础的研究学徒计划，特别强调在CS专业的第二年指导妇女和代表性不足的群体。 ERSP的指导框架包括研究导师和ERSP中央指导团队，为每个学生提供多方面的支持。 此外，它的结构是从事大量的早期CS学生在一个富有成效的，积极的CS研究经验，而不强加于个人的研究顾问不必要的工作。 通过让学生参与早期研究，ERSP旨在增加他们在本科阶段的保留率和研究生课程的招聘。 该项目已在加州圣地亚哥大学成功运行了四年。 该项目将把ERSP扩展到其他大学，包括斯坦福大学、加州大学、圣巴巴拉和伊利诺伊大学芝加哥分校。 该项目还将研究ERSP对所有机构的学生和教师参与者的影响。 该项目包括两个部分：扩大ERSP和评估ERSP对参与者的影响。 最初，ERSP将在三所研究密集型学校实施，这些学校具有一系列本科生入学标准。 每项实施都将根据机构的具体情况进行调整，提供一系列实施结构，作为如何成功实施ERSP的模式。 在这个最初的扩展阶段之后，该项目计划与另外两所学校合作，探索如何在研究密集度较低的大学（例如，硕士院校）。 第二部分是研究ERSP对学生参与者的长期影响。 具体而言，该项目旨在评估ERSP是否促进参与者之间的以下内容：与计算社区的联系感，短期和长期参与研究，CS知识和计算的持久性。研究管道评估中心的评估人员将使用他们的国家调查基础设施，收集ERSP学生与非ERSP学生的经验数据，因为学生在大学期间和离开大学后取得进展。 这些评估人员还将与ERSP项目负责人、教师导师和学生进行访谈，并控制未参加ERSP的教师和学生。 这些访谈将补充调查数据，并帮助ERSP团队更好地了解ERSP的影响，以及确定新的挑战和机会，为计划改进。这个奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的知识价值和更广泛的影响审查标准。

项目成果

The Early Research Scholars Program: Analyzing Correlation with Academic Outcomes in Computer Science Students

早期研究学者计划：分析计算机科学专业学生学业成绩的相关性

• DOI: 10.1145/3545947.3576360
• 发表时间: 2022
• 期刊: ACM
• 作者: Redfield, Kamen;Sidhu, Sukham;Alvarado, Christine
• 通讯作者: Alvarado, Christine

Exploring Group Dynamics in a Group-Structured Computing Undergraduate Research Experience

探索群体结构计算本科生研究经验中的群体动力学

• DOI: 10.1145/3501385.3543959
• 发表时间: 2022
• 期刊: Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1
• 作者: Izhikevich, Katherine;Ong, Kyeling;Alvarado, Christine
• 通讯作者: Alvarado, Christine

Evaluating a Scalable Program for Undergraduate CS Research

• DOI: 10.1145/3291279.3339406
• 发表时间: 2019-07
• 期刊: Proceedings of the 2019 ACM Conference on International Computing Education Research
• 作者: Christine Alvarado;Sergio Villazon;Burçin Tamer

Scaling and Diversifying Undergraduate Research with the Early Research Scholars Program

通过早期研究学者计划扩大和多样化本科生研究

• DOI: 10.1145/3545947.3569621
• 发表时间: 2022
• 期刊: ACM
• 作者: Alvarado, Christine;Mirza, Diba;Revelo, Renata A.;Thota, Neena
• 通讯作者: Thota, Neena

Scaling and Adapting a Program for Early Undergraduate Research in Computing

扩展和调整早期本科计算机研究项目

• DOI: 10.1145/3478431.3499336
• 发表时间: 2022
• 期刊: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022
• 作者: Alvarado, Christine;Hummel, Joe;Mirza, Diba;Revelo, Renata;Yan, Lisa
• 通讯作者: Yan, Lisa