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:西班牙裔服务机构(HSI计划)的支持下,这个第二轨道项目旨在改善教学实践,为来自计算机科学中代表性不足的群体的学生提供STEM学科的本科教育,重点是提高拉丁裔大学人口的保留率。本计划提出:1)更新并扩展计算机科学教学实务,提供全面的师资发展,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;2)通过课外关系建设活动,提高攻读计算机科学学位的拉丁裔本科生的保留率和毕业率,这些活动旨在培养他们在计算机科学学科中的受欢迎感、归属感和幸福感。由于拉斯维加斯大学拉丁裔的入学率已经很高,而且还在不断增长,因此提出的改进措施对于提高拉丁裔本科生的保留率和毕业率至关重要,尤其是那些攻读计算机科学学位的学生。该项目旨在通过应用以多元文化教育为基础并由开放教育资源(OER)支持的学习与教学透明度(TiLT)技术来改善计算机科学的教学。这些教学技巧:1)侧重于让学生清楚地知道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)。在参加了一个全面的教师发展研究所后,课程讲师将把计算机科学相关的、批判性的多元文化教育信息和oer支持的TiLT技术应用到他们的课程和课外活动中。通过对学生的调查研究,以及对学生、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拉丁计算机科学学生学习的影响。研究成果将通过项目网站、会议报告和出版物进行传播。HSI计划旨在加强本科STEM教育,扩大STEM参与,并在HSI进行能力建设。考虑到hsi的多样化性质和背景,实现这些目标需要创新的方法来激励机构和社区转型,并促进基础研究(i)关于参与式学生学习,(ii)关于如何有效地多样化和增加STEM参与,以及(iii)提高我们对如何在hsi建立机构能力的理解,这些都是由该计划支持的。该奖项反映了美国国家科学基金会的法定使命,并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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