Exploring Data Science Through the Lens of Civics Education

通过公民教育的视角探索数据科学

• 批准号: 2247675
• 负责人: Traci Higgins
• 金额: $ 69.54万
• 依托单位: TERC Inc
• 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: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2247675&HistoricalAwards=false
• 关键词: Exploring; Data; Science; Through; Lens

This research study examines the potential of integrating student-driven descriptive investigations of complex multivariate civic datasets into middle school social studies classrooms. It uses a collaborative co-design process to develop data-rich experiences for the social studies classroom crafted to (1) deepen students' data literacy, (2) develop students' sense of efficacy in working with civic data sets, and (3) create learning experiences that connect data to local problems that have meaning for students and their communities. The project goal is to explore the synergies between data science and social studies education in creating a transdisciplinary space to promote transformative data experiences for students and deepen the foundational knowledge needed for students to engage productively with data. The team uses a mixed methods approach to generate the curriculum and examine how it works in practice. The team strategically iterates between qualitative and qualitative methods to support robust inference across all phases of the proposed research.The investigator and colleagues generate a collaborative research and design process to build learning experiences to intensively interrogate civic-data and build data science literacy for teachers and their middle school students. Together middle school social studies teachers, mathematics teachers, and project leadership co-learn and co-design 2-3 week a series of data investigations. The teachers implement these data investigations in their in social studies classrooms. During the school year, the professional development continues, and the research team studies the implementation, focusing on student data science learning, along with the data-based inferences that these students draw, and warranted arguments they make. The cycle then repeats. During year two, the summer workshop shifts to focus on analysis of student and classroom data and revision of the data investigation sequences for a second round of classroom implementation and testing for student outcomes. The project is led by a nationally recognized team of STEM and social studies education researchers, in close collaboration with social studies and mathematics teachers, and includes diverse student groups generally under-represented in the STEM disciplines. The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering, and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models, and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. 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.

这项研究研究了将复杂的多元公民数据集将学生驱动的描述性投资整合到中学社会研究教室中的潜力。它使用协作的共同设计流程来为（1）加深学生的数据素养的社会研究教室开发丰富的数据体验，（2）发展学生在使用公民数据集时的有效性，以及（3）创建与对学生及其社区有意义的本地问题相关的学习经验。项目目标是探索数据科学和社会研究教育之间的协同作用，以创建一个跨学科的空间，以促进学生的变革性数据体验，并加深学生与数据有效互动所需的基础知识。该团队使用混合方法来生成课程并检查其在实践中的工作方式。该团队在定性和定性方法之间进行战略性迭代，以支持拟议研究的所有阶段的强大推断。研究人员和同事产生了协作研究和设计过程，以建立学习经验，以深入询问Civic Data并为教师及其中学生建立数据科学素养。中学社会研究教师，数学教师和项目领导力共同学习和共同设计2-3周一系列数据投资。教师在社会研究教室中实施这些数据投资。在学年中，专业发展继续进行，研究小组研究了实施，重点是学生数据科学学习，以及这些学生提出的基于数据的推论，并有必要提出的论点。然后循环重复。在第二年，夏季研讨会转移到分析学生和课堂数据的分析以及对第二轮课​​堂实施和学生成绩测试的数据调查序列的修订。该项目由一个全国认可的STEM和社会研究教育研究人员团队与社会研究和数学教师的密切合作，其中包括在STEM学科中总数不足的不同学生团体。 Discovery Research Prek-12计划（DRK-12）试图通过研究和开发创新资源，模型和工具的研究和开发，从而大大增强PreK-12学生和教师的科学，技术，工程和数学（STEM）的学习和教学。 DRK-12计划中的项目基于STEM教育和先前的研发工作的基础研究，为拟议项目提供了理论和经验的理由。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来支持的珍贵支持。