Characterizing Inclusive Strategies that Retain Black Students in Computer Science to Graduation and Beyond

描述保留计算机科学专业黑人学生毕业及毕业后的包容性策略

• 批准号: 2111524
• 负责人: Kinnis Gosha
• 金额: $ 6.65万
• 依托单位: Morehouse College
• 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
• 起止时间: 2021-10-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2111524&HistoricalAwards=false
• 关键词: Characterizing; Inclusive; Strategies; Retain; Black

This IUSE project aims to serve the national interest by identifying factors that lead to the lack of diversity in computing professions. Research has shown that the first two years of science, technology, engineering, and mathematics (STEM) majors are often where students are lost in the pipeline. This project will identify factors that affect the retention and graduation of under-represented minority students in the computing major. The goals are to identify inclusive strategies for success in computing programs and investigate ways to increase the retention and post-graduation success of Black students in computing. Of particular interest are strategies that are transferable to different types of institutions and STEM fields in general. This project features a collaboration between two Historically Black Colleges/Universities and a Primarily White Institution that will work together to understand the challenges facing each institution and the strengths each institution brings to addressing this problem.Through detailed transcript analysis, this research will take an asset-based approach, focusing on the strengths of students succeeding in the major. Two cohorts of lower division (freshman and sophomore) Black CS students from two Historically Black Colleges/Universities (HBCUs) and one Primarily White Institution (PWI) will be studied to measure perceived societal impacts and their understanding of content through conceptual assessment instruments. A cohort of upper division students will be studied to measure the factors that led to their success using surveys, a content assessment, and interviews. Using a mixed methods analysis approach, White students will be compared to Black students at the research intensive PWI and then the principal investigators will compare Black students at the PWI to Black students at the two HBCUs. The goal is to expand knowledge of inclusive teaching strategies and provide institutional awareness of factors that can go beyond recruiting URMs to focus on retention in the major and student success post-graduation. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该 IUSE 项目旨在通过识别导致计算机专业缺乏多样性的因素来服务于国家利益。研究表明，科学、技术、工程和数学 (STEM) 专业的前两年往往是学生迷失方向的时期。该项目将确定影响计算机专业中代表性不足的少数族裔学生的保留和毕业的因素。目标是确定计算机项目成功的包容性策略，并研究提高黑人学生在计算机领域的保留率和毕业后成功的方法。特别令人感兴趣的是可转移到不同类型的机构和一般 STEM 领域的策略。该项目的特点是两所历史悠久的黑人学院/大学和一个主要是白人的机构之间的合作，他们将共同努力了解每个机构面临的挑战以及每个机构在解决这个问题方面所具有的优势。通过详细的成绩单分析，这项研究将利用一个资产基于的方法，注重学生在专业上取得成功的优势。将研究来自两所传统黑人学院/大学 (HBCU) 和一所主要白人机构 (PWI) 的两组低年级（一年级和二年级）黑人 CS 学生，以通过概念评估工具衡量感知的社会影响以及他们对内容的理解。将对一群高年级学生进行研究，通过调查、内容评估和访谈来衡量导致他们成功的因素。使用混合方法分析方法，将白人学生与研究密集型 PWI 的黑人学生进行比较，然后主要研究人员将 PWI 的黑人学生与两个 HBCU 的黑人学生进行比较。目标是扩大包容性教学策略的知识，并提供机构对因素的认识，这些因素可以超越招募 URM 的范围，重点关注专业的保留和学生毕业后的成功。 NSF IUSE：EHR 计划支持研究和开发项目，以提高所有学生 STEM 教育的有效性。通过其参与的学生学习轨道，该计划支持有前途的实践和工具的创建、探索和实施。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。