CAREER: Situating Computational Learning Opportunities in the Digital Lives of High School Students

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。该项目也通过CS for All：Research and RPPs计划获得资助。计算机科学和数据科学是许多STEM学科的重要主题。数据科学可以将计算机编程和学生在日常生活中产生和使用的数据结合起来，帮助他们了解计算对世界的影响。该项目将设计和研究一个课程单元，通过让学生根据他们的兴趣提出问题，并通过编程收集和分析来自公共平台的大型数据集来回答这些问题，向学习者介绍计算的强大思想。该课程将通过与城市学区的合作来设计，以将编程融入新的数据科学课程。教师和研究人员将合作开发课程，以便与其他学校共享。这门新课程提供了一个独特而及时的机会，在一个地区范围内的倡议中推广创新的计算机科学教学，该倡议专门针对那些历史上很少有机会学习计算机科学的学生。该项目将在高中课堂上进行多年的基于设计的研究，并使用参与式设计，课堂案例研究和多学校实施来开发和研究这个新的CS课程单元。有一个特别关注的经验，学习者从人口历史上被排除在计算。本研究以课程设计和学生经验的问题为指导。例如，如何设计一个课程单元，让学习者根据他们的兴趣提出问题，并使用公开的数据集回答他们，产生兴趣和计算机科学知识的共同表达？这样的教育经验如何帮助学习者理解计算对他们生活的影响？这样的教育经验如何增加学习者的知识和能力，在计算机科学？这种教育经历如何影响历史上被排除在计算之外的学习者的信心和自我效能？该项目将利用定性和定量来源从教师和学生那里收集数据。例如，为了捕捉学生的学习经验，该项目将收集学生的工作和他们产生的书面工件的视频。与教师的讨论设计会议将用于设计和修改课堂使用的资源，并了解教师的观点。现场笔记和文物将收集从参与设计会议与教师。总的来说，该项目将通过与教师的参与式过程，为学生创造数据科学学习体验。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。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This project is also funded through the CS for All: Research and RPPs program.Computer science and data science are important topics with applications in many STEM disciplines. Data science can bring together computer programming and the data students produce and use in their daily lives as a way to help them understand the impacts of computing on the world. The project will design and study a curricular unit that introduces learners to the powerful ideas of computing by having students pose questions based on their interests and answer them by using programming to gather and analyze large data sets from publicly available platforms. The curriculum will be designed through a partnership with an urban school district to integrate programming in a new data science course. Teachers and researchers will collaborate to develop the curriculum so that it can be shared with other schools. This new course provides a unique and timely opportunity to situate innovative computer science instruction in a district-wide initiative specifically designed to reach students from populations who have historically had little opportunity to learn computer science. This project will conduct a multi-year design-based research study in high school classrooms and use participatory design, classroom case studies, and a multi-school implementation to develop and research this new CS curricular unit. There is a particular focus on the experience of learners from populations historically excluded from computing. The research is guided by questions about the design of the curriculum and the experiences of the students. For example, how can a curricular unit designed to have learners pose questions based on their interests and answer them using publicly available datasets produce the co-expression of interest and computer science knowledge? How do such educational experiences help learners understand the impact of computing on their lives? How do such educational experiences increase learners’ knowledge of and abilities in computer science? How do such educational experiences impact confidence and self-efficacy for learners historically excluded from computing? The project will gather data from teachers and students using qualitative and quantitative sources. For instance, to capture students’ learning experience, the project will gather video of students’ working and the written artifacts they produce. Participatory design sessions with the teachers will be used to design and revise the resources for classroom use and understand teachers’ perspectives. Field notes and artifacts will be gathered from the participatory design sessions with teachers. Overall, the project will develop knowledge about how to create data science learning experiences for students using a participatory process with teachers.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.