Computer Science for Appalachia: Expanding a Research-Practice Partnership to Integrate Computer Science and Literacy in Rural East Tennessee Schools

阿巴拉契亚计算机科学：扩大研究与实践合作伙伴关系，将计算机科学与田纳西州东部农村学校的读写能力相结合

• 批准号: 2219418
• 负责人: Lynn Hodge
• 金额: $ 100万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219418&HistoricalAwards=false
• 关键词: Computer; Science; Appalachia; Expanding; Research

This project supports teachers in teaching computer science (CS) in substantial and meaningful ways that build on the cultural and linguistic resources of students in East Tennessee. Building on an existing Research Practice Partnership, the team is developing a CS-Literacy curriculum with a focus on storytelling as a regionally relevant practice. In addition, the team is developing teacher professional development to support the curriculum. Design-based research guides the planning, development, and refinement of the curriculum and teacher professional development. Participating teachers will implement the curriculum in their classrooms to support students’ learning of CS and literacy. The teacher participants will form a CS for Appalachia Teacher Network in order to provide educators with a community to make sense of CS Literacy integration in their schools and classrooms. The findings will provide a model for how rural school districts create opportunities for teachers and students to engage meaningfully with CS in elementary grades.Three strands of research guide this project. The first strand focuses on teacher identity related to CS and the role of the teacher PD in shaping CS identify. Data will be collected via surveys, interviews, and video recordings of work sessions. Inductive/deductive coding of qualitative data will be used to provide rich descriptions of teacher identify related to CS and quantitative data will be summarized using descriptive statistics. The second strand of research focuses on student learning and engagement related to CS. Data will include student assessments, work products, and exit tickets that capture student engagement. Content analysis will be used to analyze student assessments and descriptive statistics as well as hierarchical linear modeling will be used to analyze student learning and engagement over time. The third strand focuses on the CS for Appalachia Teacher Network. Data will be collected via teacher surveys. Network analyses will be conducted as well as regression analyses to determine the characteristics and factors that contribute to greater or fewer connections among the network participants. The findings from this project will contribute to knowledge about the importance and utility of teacher networks for supporting improvement and reform efforts in CS education.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.

该项目以实质性和有意义的方式为教师提供教学计算机科学（CS），这些方式基于东田纳西州学生的文化和语言资源。在现有的研究实践伙伴关系的基础上，该团队正在开发CS律师课程，重点是讲故事作为与区域相关的实践。此外，该团队正在开发教师专业发展以支持课程。基于设计的研究指导了课程和教师专业发展的计划，开发和完善。参加教师将在课堂上实施课程，以支持学生对CS和识字的学习。教师参与者将为阿巴拉契亚教师网络组成一个CS，以便为教育工作者提供社区，以了解其学校和教室中的CS扫盲整合。这些发现将为艰难的学区如何为教师和学生创造机会与小学成绩有意义地互动的机会提供模型。研究指南的三个项目。第一个链专注于与CS有关的教师身份以及PD在塑造CS识别中的作用。数据将通过调查，访谈和工作会议记录来收集数据。定性数据的归纳性/演绎编码将用于提供与CS相关的教师识别的丰富描述，并使用描述性统计数据将汇总定量数据。第二项研究的重点是与CS相关的学生学习和参与度。数据将包括学生评估，工作产品和捕获学生参与度的退出门票。内容分析将用于分析学生评估和描述性统计数据，以及分层线性建模将用于分析学生的学习和参与时间。第三条链专注于阿巴拉契亚教师网络的CS。数据将通过教师调查收集。将进行网络分析以及回归分析，以确定有助于网络参与者之间或更少联系的特征和因素。该项目的发现将有助于了解教师网络在支持CS教育方面的改进和改革工作的重要性和实用性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估来支持的。