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
在改进的本科生STEM教育:拉美裔服务机构(HSI计划)的支持下,该Track 2项目旨在改善教学实践,对计算机科学中代表性不足群体的STEM专业本科生教育产生积极影响,重点是提高拉丁裔大学人口的保留率。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;以及2)通过旨在培养他们在计算机科学学科中的受欢迎、归属感和幸福感的共同课程关系建设活动,提高Latinx本科生攻读计算机科学学位的保留率和毕业率。鉴于拉美裔学生在UNLV的入学率已经很高,而且还在不断增长,拟议的改进措施势在必行,以提高拉美裔本科生的保留率和毕业率,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学与教的透明度(TILT)技术来改善计算机科学的教学和学习,该技术由关键的多元文化教育提供信息,并得到开放教育资源(OER)的支持。这些教学技巧:1)专注于让学生明白他们如何以及为什么以特定的方式参与课程内容;2)已被证明改善了学生的整体学习结果,特别是对于包括非STEM(科学、技术、工程和数学)在内的许多学术专业的第一代学生。在参加综合教师发展学院后,课程讲师将在他们的课程和共同课程活动中应用与计算机科学相关的、关键的多元文化教育知识和OER支持的倾斜技术。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,研究团队成员将评估应用对Latinx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计划旨在加强本科生STEM教育,扩大STEM的参与,并建设HSIS的能力。考虑到HSIS的不同性质和背景,实现这些目标需要创新的方法来激励机构和社区的变革,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对STEM的参与,以及(Iii)提高我们对如何在HSI建设机构能力的理解。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势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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