Fostering Culturally Relevant Programming Learning Experiences by Learnersourcing Contextualized Worked-Out Examples

该项目旨在通过培养与文化相关的编程学习环境，提高妇女在计算机领域的持久性，从而为国家利益服务。在过去的20年里，美国攻读计算机学位的女性人数急剧下降。考虑到有资格从事计算机工作的毕业生短缺，这是一个重大问题。该项目将确定采用众包的教学法如何影响女学生的参与和学习成果，并将开展与文化相关的学习活动，使所有计算机专业的学生受益。该项目将通过参与研究和共同撰写出版物，为女本科生提供早期研究机会，从而使她们更多地接触到文学中年轻女性的声音。该项目有可能吸引妇女，因为她们正在学习课程材料，并建立与文化相关的例子，可以吸引同学。该方法将在工作流程的开发中纳入女权主义教学法和学习者资源，使学生能够情境化并创建工作示例。该方法将在三个编程类的范围内对工作流进行经验部署。该项目将研究定制计算学习在少数民族服务、文化相关和特定领域环境中的有效性，并调查改善学生学习的条件。结果将促进对学习者资源方法如何有效地整合到课堂中的理解。教学实践将通过一个开放源代码的网络应用程序、研讨会和推广工作，以及指南和教程的设计和开发来传播。NSF IUSE: EDU项目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。

This project aims to serve the national interest in enhancing the persistence of women in computing by fostering culturally relevant programming learning environments. In the last 20 years, the U.S. has seen a sharp decline in the number of women pursuing degrees in computing. This is a significant problem given the shortage of graduates qualified to pursue employment in computing. The project will identify how crowdsourcing-enabled pedagogy influences the engagement and learning outcomes of female students and will develop culturally relevant learning activities that can benefit all computing students. This project will provide early research exposure to female undergraduate students through participation in the research studies and co-authoring publications, which will, in turn, provide more exposure to young women's voices in the literature. The project has the potential to engage women as they are learning course material and building culturally relevant examples that could engage classmates.The methodology will incorporate feminist pedagogy and learner sourcing in the development of a workflow that will enable students to contextualize and create worked-out examples. The approach will be an empirical deployment of the workflow in the scope of three programming classes. This project will study the effectiveness of customized computing learning in minority-serving, culturally relevant, and domain-specific contexts and investigate conditions under which improved student learning occurs. Results will advance the understanding of how learner sourcing approaches can be effectively integrated in the classroom. The teaching practices will be disseminated with an open-source web application, workshops and outreach efforts, and the design and development of guidelines and tutorials. The NSF IUSE: EDU 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.