Student Advancement and Internships in the Middle of a Computer Science Major

计算机科学专业的学生进步和实习

基本信息

  • 批准号:
    2318048
  • 负责人:
  • 金额:
    $ 19.99万
  • 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
  • 起止时间:
    2023-08-01 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this project aims to pilot a program for second-year students in the computer science (CS) major to address the problem of persistence among Hispanic and Black students, and female students of all ethnicities. Minority students who are underrepresented in their participation in STEM careers enter STEM majors at similar rates to the rest of the population but have much lower persistence to completing a degree. Increasing retention among these students is crucial to diversifying the technical workforce. This project will use supplementary instructional workshops to help students integrate their academic knowledge and technical interviewing skills. Technical interviewing is a key part of the screening process for achieving internships. The project's investigators will create communication pipelines that support the success of transfer students and develop institutional infrastructure to build sustainability. The project will improve course retention, grades, and internship achievement among underrepresented minority students. Successful outcomes of this project should provide the rationale for expansion of the program and more rigorous study of its impact. This project's specific objectives will be to increase retention in second-year computer science courses, increase fluency in programming and analytic reasoning, and improve students’ skills for technical interviewing. The project team will offer two series of workshops, each aligned to course content and different stages of the technical screening process for internships. Both workshop series will feature active learning and regular peer- and self-assessment in a non-evaluative and supportive environment to help students develop awareness of their personal learning needs and self-regulated learning. The evaluation plan will use quasi-experimental methods to generate high-quality information for making inferences about program outcomes. Research on the relationships between self-assessment, self-regulation, and achievement will add to a growing body of literature within and beyond STEM fields. The project's plan for communicating its activities and findings will include outreach to many audiences including faculty in computer science and adjacent departments throughout the City University of New York (CUNY) system, STEM-educational researchers, tech industry recruiters, and students. The dissemination plan will make use of regional seminars, conference presentations, peer-reviewed publications, and a program website. This project is funded by the HSI Program, which aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity for institutional transformation at HSIs.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.
在改善本科STEM教育的支持下:西班牙裔服务机构(HSI计划),该项目旨在为计算机科学(CS)专业的二年级学生试点一项计划,以解决西班牙裔和黑人学生以及所有种族的女学生的持久性问题。在STEM职业参与中代表性不足的少数民族学生进入STEM专业的速度与其他人口相似,但完成学位的持久性要低得多。提高这些学生的保留率对于技术劳动力的多样化至关重要。这个项目将使用补充教学研讨会,以帮助学生整合他们的学术知识和技术面试技巧。技术面试是获得实习机会的筛选过程的关键部分。该项目的调查人员将建立沟通渠道,支持转学生的成功,并建立机构基础设施,以建立可持续性。该项目将提高课程保留率,成绩和实习成绩在代表性不足的少数民族学生。这一项目的成功结果应提供扩大该方案和更严格研究其影响的理由。 该项目的具体目标是提高二年级计算机科学课程的保留率,提高编程和分析推理的流畅性,并提高学生的技术面试技能。项目团队将提供两个系列的研讨会,每个研讨会都与课程内容和实习技术筛选过程的不同阶段相一致。这两个工作坊系列将在一个非评估和支持性的环境中进行主动学习和定期的同侪和自我评估,以帮助学生认识他们的个人学习需要和自我调节学习。评估计划将使用准实验方法来生成高质量的信息,以便对计划结果进行推断。对自我评估、自我调节和成就之间关系的研究将增加STEM领域内外越来越多的文献。该项目的活动和调查结果的沟通计划将包括与许多受众的外联,包括计算机科学教师和整个纽约(CUNY)系统的相邻部门,STEM教育研究人员,科技行业招聘人员和学生。传播计划将利用区域研讨会、会议介绍、同行评审出版物和项目网站。该项目由HSI计划资助,旨在加强本科STEM教育,扩大STEM参与,并建立HSI的机构转型能力。该奖项反映了NSF的法定使命,并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,被认为值得支持。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Katherine St. John其他文献

Characterizing Local Optima for Maximum Parsimony
  • DOI:
    10.1007/s11538-016-0174-0
  • 发表时间:
    2016-05-27
  • 期刊:
  • 影响因子:
    2.200
  • 作者:
    Ellen Urheim;Eric Ford;Katherine St. John
  • 通讯作者:
    Katherine St. John

Katherine St. John的其他文献

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{{ truncateString('Katherine St. John', 18)}}的其他基金

REU Site: Interdisciplinary Undergraduate Research in Discrete Mathematical and Computational Biology
REU 网站:离散数学和计算生物学跨学科本科生研究
  • 批准号:
    1822540
  • 财政年份:
    2017
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Continuing Grant
REU Site: Interdisciplinary Undergraduate Research in Discrete Mathematical and Computational Biology
REU 网站:离散数学和计算生物学跨学科本科生研究
  • 批准号:
    1461094
  • 财政年份:
    2015
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Continuing Grant
Mathematical Challenges in Phylogenetic Landscapes
系统发育景观中的数学挑战
  • 批准号:
    0920920
  • 财政年份:
    2009
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
MRI: Parallel Computing Environment for Computational Mathematics
MRI:计算数学的并行计算环境
  • 批准号:
    0215942
  • 财政年份:
    2002
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
ITR/AP: Collaborative Research: Exploring the Tree of Life
ITR/AP:合作研究:探索生命之树
  • 批准号:
    0121651
  • 财政年份:
    2001
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
POWRE: Computational Problems Related to Phylogenetic Tree Reconstruction
POWRE:与系统发育树重建相关的计算问题
  • 批准号:
    9973874
  • 财政年份:
    1999
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
POWRE: Computational Problems Related to Phylogenetic Tree Reconstruction
POWRE:与系统发育树重建相关的计算问题
  • 批准号:
    0096080
  • 财政年份:
    1999
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant

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IUCRC 第一阶段威斯康星大学密尔沃基分校:混凝土进步网络中心 (CAN),主要站点
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会议:CRA-E 研讨会:支持职业建设、学生研究经验和教学轨道教师的进步
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    2024
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合作研究:AGEP ACA:HSI R2 战略合作,以提高西班牙裔学生进入教授职位的水平
  • 批准号:
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