Sociocultural Approach to Integrating Computational Thinking and Data Analysis into an Online Citizen Science Program Linking Rural Educators in Maine, Mississippi, and Alabama

将计算思维和数据分析整合到在线公民科学计划中的社会文化方法，将缅因州、密西西比州和阿拉巴马州的农村教育工作者联系起来

• 批准号: 1933491
• 负责人: Ruth Kermish-Allen
• 金额: $ 139.3万
• 依托单位: Maine Mathematics and Science Alliance
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933491&HistoricalAwards=false
• 关键词: Sociocultural; Approach; Integrating; Computational; Thinking

This project will engage students in nine rural coastal schools in Maine, Mississippi, and Alabama, linking students around the Gulf of Maine with students near the Gulf of Mexico. This innovative approach of linking an online to classroom learning community will engage students in citizen science activities and will result in the design of curriculum modules that integrate computational thinking skills with standards-based instruction. An advisory group of teacher leaders, scientists, and a specialist in using computational analysis tools will co-design three learning modules for students and professional learning opportunities for teachers that will support classroom groups in developing investigations. The modules will use a data analysis tool designed specifically for students to integrate computational thinking skills with the citizen science investigations, enabling students to work with both existing, large-scale datasets related to their investigations, and local datasets that they and their peers have constructed. The project will also develop and implement a 3-day summer institute for teachers that will focus on inquiry-driven, place-based learning that integrates computational practices and thinking. Following each summer institute, participating teachers will work in teams to align a citizen science with components of computational thinking, with a focus on data collection and management, and data analysis. During the academic year, participating teachers, scientists, and participating community members will meet monthly to develop computational thinking skills, formulate questions to guide investigations, and consider topics related to student leadership, highlighting the work of scientists, and using science to inform actions. The modules to be developed and the supporting materials will be incorporated into learning management system that will be used to manage resources as well as facilitate interactions among students, teachers, scientists, and interested community members.This project will use a design-based research approach to iteratively develop and test learning modules that engage students in computational thinking through active participation in citizen science investigations in school classrooms. This work will be guided by two research questions: 1) What are the key design elements and levels of implementation to consider when integrating computational data analysis skills in the context of place-based problem solving in co-designed citizen science in the classroom? And 2) What supports do rural educators need to increase their confidence and ability to teach computational data analysis in grades 3-8? To answer these questions, the project will: 1) Implement a co-design process to identify where and how computational thinking can be aligned with the Next Generation Science Standards and the Common Core State Standards for mathematics while addressing the unique needs and interests of rural schools and communities through citizen science involvement, 2) Develop a set of modules and associated professional development resources that support rural educators in using computational data analysis to interpret and share findings with peers and relevant communities, and 3) Identify ways to support rural educators in the implementation of computational thinking skills through the lens of citizen science, thereby making learning relevant and meaningful to students in their local communities. A range of classroom level data and student data, both quantitative and qualitative, will be collected to examine project impacts using ongoing, grounded theory-based analysis. This project is being supported jointly by the STEM+Computing program and the Innovative Technology Experiences for Students and Teachers (ITEST) program. As computing has become integral to the practice of science, technology, engineering and mathematics (STEM), the STEM+Computing program seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within STEM teaching and learning in early childhood education through high school (PreK-12). This project will advance efforts of the ITEST program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by developing a technology-rich, out-of-school time STEM program for underserved middle and high school youth.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.

该项目将吸引缅因州、密西西比州和亚拉巴马州九所农村沿海学校的学生，将缅因州海湾周围的学生与墨西哥湾附近的学生联系起来。这种将在线与课堂学习社区联系起来的创新方法将使学生参与公民科学活动，并将导致设计将计算思维技能与基于标准的教学相结合的课程模块。一个由教师领导、科学家和使用计算分析工具的专家组成的咨询小组将为学生共同设计三个学习模块，为教师提供专业学习机会，支持课堂小组开展调查。这些模块将使用专门为学生设计的数据分析工具，将计算思维技能与公民科学调查相结合，使学生能够使用与其调查相关的现有大型数据集以及他们和同龄人构建的本地数据集。该项目还将为教师开发和实施为期3天的暑期研究所，重点是探究驱动的、基于地点的学习，将计算实践和思维结合起来。在每个暑期研究所之后，参与的教师将在团队中工作，将公民科学与计算思维的组成部分结合起来，重点是数据收集和管理以及数据分析。在学年期间，参与的教师，科学家和参与的社区成员将每月举行会议，以发展计算思维能力，制定问题来指导调查，并考虑与学生领导有关的主题，突出科学家的工作，并利用科学来通知行动。将开发的模块和辅助材料将纳入学习管理系统，该系统将用于管理资源以及促进学生、教师、科学家、和感兴趣的社区成员。这个项目将使用一个设计-基于研究的方法，迭代开发和测试学习模块，通过积极参与公民科学调查，学校教室。这项工作将由两个研究问题指导：1）在课堂上共同设计的公民科学中，在基于地点的问题解决背景下整合计算数据分析技能时，需要考虑的关键设计元素和实施水平是什么？2）农村教育工作者需要哪些支持来提高他们在3-8年级教授计算数据分析的信心和能力？为了回答这些问题，该项目将：1）实施共同设计过程，以确定计算思维在何处以及如何与下一代科学标准和数学共同核心国家标准保持一致，同时通过公民科学参与解决农村学校和社区的独特需求和利益，2）开发一套模块和相关的专业发展资源，支持农村教育工作者使用计算数据分析来解释研究结果并与同行和相关社区分享，（3）确定支持农村教育工作者通过公民科学的透镜实施计算思维技能的方法，从而使学习对当地社区的学生具有相关性和意义。将收集一系列定量和定性的课堂数据和学生数据，以使用持续的、基于理论的分析来检查项目的影响。该项目由STEM+Computing计划和学生和教师创新技术体验（ITEST）计划共同支持。随着计算已成为科学，技术，工程和数学（STEM）实践的组成部分，STEM+计算计划旨在通过在幼儿教育中应用计算思维和计算活动的整合来解决计算STEM领域的新挑战。该项目将推进ITEST计划的努力，以更好地理解和促进提高学生的动机和能力的做法，通过开发技术丰富，在...之外学校时间STEM计划，为服务不足的初中和高中的青年。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用的支持，基金会的学术价值和更广泛的影响审查标准。