Promoviendo La Esperanza Equitativa/Advancing Equitable Teaching Practices to Reduce Systemic Inequities in Computer Science Courses for Latinx Students
Promoviendo La Esperanza Equitativa/Advancing Equitable Teaching Practices to Reduce Systemic Inequities in Computer Science Courses for Latinx Students
批准号:
2318422
负责人:
Kazem Taghva
金额:
$49.98万
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
项目状态:
未结题
起止时间:
2023-08-15 至 2026-07-31
中文摘要
在改善本科STEM教育的支持下:西班牙裔服务机构(HSI计划),该轨道2项目旨在改善教学实践,这将对来自计算机科学代表性不足群体的学生的STEM学科本科教育产生积极影响,重点是提高拉丁美洲大学人口成员的保留率。该项目建议:1)通过提供全面的教师发展来更新和扩展计算机科学教学实践,以提高教师在学术,社会和情感上支持计算机科学学生的能力;和2)通过旨在培养他们的欢迎感,归属感,和幸福感。随着UNLV的Latinx入学率已经很高且不断增长,建议的改进对于提高Latinx本科生的保留率和毕业率至关重要,特别是那些攻读计算机科学学位的学生。该项目旨在通过应用关键的多元文化教育和开放教育资源(OER)支持的学习和教学(TiLT)技术来改善计算机科学的教学和学习。这些教学技巧:1)专注于让学生清楚他们如何以及为什么以特定的方式参与课程内容; 2)已被证明可以提高学生的整体学习成果,特别是对于许多学术专业的第一代学生,包括非STEM(科学,技术,工程和数学)。参加综合性教师发展研究所后,课程讲师将应用计算机科学相关的,关键的多元文化教育知情,并OER支持的TiLT技术,他们的课程和课外活动。通过与学生的混合方法调查研究,以及与学生,课程教师和课程协调员的定性个人和焦点小组访谈研究,研究小组成员将评估应用程序对Latinx计算机科学学生学习的影响。研究结果将通过项目网站、会议介绍和出版物传播。HSI计划旨在加强本科STEM教育,扩大STEM的参与,并建立HSI的能力。实现这些目标,鉴于HSIs的多样性和背景,需要创新的方法,激励机构和社区转型,促进基础研究(i)参与学生学习,(ii)关于如何有效地使STEM多样化和增加参与,以及(iii)该奖项反映了NSF的法定使命,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估,被认为值得支持。
英文摘要
With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Track 2 project aims to improve teaching practices that will positively impact undergraduate education in STEM disciplines for students from underrepresented groups in computer science with a focus on improving retention among members of the Latinx college population. This project proposes to: 1) update and expand computer science teaching practices by providing comprehensive faculty development to improve instructors’ capacity to academically, socially, and emotionally support computer science students; and 2) increase retention and graduation rates for Latinx undergraduate students pursuing a degree in computer science through co-curricular relationship-building activities designed to cultivate their sense of welcome, belonging, and well-being in the computer science discipline. With already high and growing Latinx enrollment at UNLV, the proposed improvements are imperative to boost the retention and graduation rates for Latinx undergraduate students, especially those pursuing a degree in computer science.This project seeks to improve computer science teaching and learning by applying Transparency in Learning and Teaching (TiLT) techniques informed by critical multicultural education and supported by open educational resources (OER). These teaching techniques: 1) focus on making it obvious to students how and why they are engaging with course content in particular ways; and 2) have been shown to improve overall student learning outcomes, particularly for first generation students in many academic majors including non-STEM (science, technology, engineering, and mathematics). After participating in a comprehensive faculty development institute, course instructors will apply computer science-related, critical multicultural education-informed, and OER-supported TiLT techniques to their courses and co-curricular activities. Through mixed methods survey research with students, and qualitative individual and focus group interview research with students, course instructors, and course coordinators, research team members will assess the impact of application on Latinx computer science students’ learning. Research findings will be disseminated through the project website, conference presentations, and publications. The HSI Program aims to enhance undergraduate STEM education, broaden participation in STEM, and build capacity at HSIs. Achieving these aims, given the diverse nature and context of the HSIs, requires innovative approaches that incentivize institutional and community transformation and promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs are supported by this program.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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