Broadening Access to CT-STEM: Leveraging lived experiences and hybrid language practices of upper elementary Mainers for computational sensemaking

扩大 CT-STEM 的使用范围：利用高年级缅因州学生的生活经验和混合语言实践来进行计算意义建构

• 批准号: 2122672
• 负责人: Amanda Dickes
• 金额: $ 29.83万
• 依托单位: Gulf of Maine Research Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2122672&HistoricalAwards=false
• 关键词: Broadening; Access; CT; STEM; Leveraging

Broadening access to computing is a priority for the nation as the skills and knowledge related to computer science are increasingly needed across various sectors of the economy. However, without a more systematic effort towards developing inclusive computing education, particularly as early as the K-8 grades, many students will be left out of the opportunities created by these jobs. Of particular interest in this project are students for whom English is not their first language. Research has shown these students learn best when their multilingual fluency is supported in the classroom. Integrating computing with math and science instruction and developing teaching practices that allow students to move between languages will demonstrate how all learners, regardless of their proficiency with the English language, can become successful at computing, math, and science. This research project is designed to help teachers build their own competence in teaching computing and provide structural supports for these new teaching practices, while also evaluating the impact of a hybrid computing curriculum for multilingual students. In this project, researchers will partner with teachers to co-design a math and science curriculum that integrates computing and supports hybrid language practices and draws on students’ lived experience. The project includes support for a Professional Learning Community for grade 6 teachers so they can collaborate and reflect on the developing pedagogy. The project team will work in 20 classrooms, reaching 350-400 students from an underserved and underrepresented community. The project is designed to (1) build capacity for teachers with limited experience teaching computing, (2) identify ways to support students’ hybrid learning practices in an integrated curriculum, (3) understand the trajectory of teaching with this approach, and (4) document how these activities impact student learning and support the development of STEM identities for multilingual learners. The project includes three research questions: (1) How do teachers as co-designers find opportunities to integrate computing into their math and science curriculum and support hybrid language practices? (2) How do teachers refine their pedagogical practices over the course of 2 years through reflection on key moments from their own and their colleagues’ teaching? (3) How does an integrated CT-MS approach that leverages hybrid language practices support student learning about computing, math and science and the development of their STEM identity? The data collection and analysis will use video of classrooms, artifacts of teachers’ planning, surveys and interviews.This project is funded through the CS for All: Research and RPPs programThis 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.

扩大计算的访问是国家的优先事项，因为在经济的各个领域，与计算机科学相关的技能和知识都越来越多。但是，如果没有更加系统地开发包容性计算教育的努力，尤其是早在K-8年级的时候，许多学生就会被排除在这些工作创造的机会之外。在这个项目中特别感兴趣的是英语不是其母语的学生。研究表明，当课堂上支持他们的多语言流利性时，这些学生的学习最佳。将计算与数学和科学指导整合在一起，并开发允许学生在语言之间移动的教学实践，将证明所有学习者（无论他们对英语的熟练程度如何）如何在计算，数学和科学方面取得成功。该研究项目旨在帮助教师在教学计算中建立自己的能力，并为这些新的教学实践提供结构支持，同时还评估混合计算课程对多语言学生的影响。在这个项目中，研究人员将与教师合作，共同设计数学和科学课程，该课程整合计算并支持混合语言实践并利用学生的现场经验。该项目包括对6年级教师的专业学习社区的支持，因此他们可以协作并反思发展中的教学法。该项目团队将在20个教室工作，从服务不足和代表性不足的社区中吸引350-400名学生。该项目旨在（1）为具有有限经验的教学计算的教师增强能力，（2）确定在综合课程中支持学生混合学习实践的方法，（3）通过这种方法了解教学的轨迹，以及（4）这些活动如何影响学生学习和支持多语言学习者的STEM认同的发展和支持。该项目包括三个研究问题：（1）教师作为共同设计者如何找到将计算机整合到其数学和科学课程中并支持混合语言实践的机会？ （2）教师如何通过对自己和同事的教学的关键时刻进行反思，在两年的过程中如何完善他们的教学实践？ （3）利用混合语言实践的集成CT-MS方法如何支持学生学习计算，数学和科学以及其STEM身份的发展？数据收集和分析将使用教室的视频，教师计划的工件，调查和访谈。该项目是通过CS资助的：研究和RPPS计划，该奖项反映了NSF的法定任务，并被视为值得通过基金会的知识分子优点和更广泛影响的评估评估来通过评估来提供支持。