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

通过学习者提供情境化的实例来培养与文化相关的编程学习体验

• 批准号: 2315683
• 负责人: Tianyi Li
• 金额: $ 40万
• 依托单位: Purdue University
• 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
• 起止时间: 2023-06-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315683&HistoricalAwards=false
• 关键词: Fostering; Culturally; Relevant; Programming; Learning

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.

该项目旨在通过培养文化上相关的编程学习环境，促进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。这是一个严重的问题，因为缺乏合格的毕业生从事计算就业。该项目将确定众包辅助教学法如何影响女生的参与和学习成果，并将开发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，使女本科生能够尽早接触研究，这反过来又将使她们更多地接触到文学作品中年轻妇女的声音。该项目有可能让正在学习课程材料的妇女参与进来，并建立与文化相关的、可以吸引同学参与的例子，方法将在制定工作流程时纳入女权主义教学法和学习者来源，使学生能够在情境中学习并创建成功的例子。该方法将在三个编程类的范围内的工作流的经验部署。该项目将研究定制计算学习在少数民族服务，文化相关，和特定领域的背景下的有效性，并调查条件下，改善学生的学习发生。研究结果将促进对学习者来源方法如何有效地融入课堂的理解。教学实践将通过一个开放源码网络应用程序、讲习班和外联工作以及指导方针和教程的设计和制定来传播。NSF IUSE：EDU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。该奖项反映了NSF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。