A Study of Student Investigations in Data-Sharing Projects

调查将研究NSF资助的一些项目，学生们在进行科学调查的过程中收集、分享和分析真实世界的数据。到目前为止，在这些项目中，数据收集和共享活动比数据分析更顺利，许多学生和教师在数据分析中苦苦挣扎。这些困难对培养真正的数学和科学学习以及在学生和科学家之间实现共享探究构成了严重障碍。本研究将为研究数据分析问题的性质提供具体的信息，以帮助当前项目更好地支持数据分析技能，并为未来数据分析项目的发展、材料、软件和教师的发展努力提供一个研究基地。这项研究将集中在数据的真实性、可管理性和学生和教师的可及性等问题上。主要产品将包括(1)对单个项目的数据集进行分析，包括得出有趣和可解释的结果的程度和评估，以及关于如何使学生更容易获得这些数据的建议，以及(2)总结主要发现的技术报告，包括具有代表性的案例研究，强调学生分析现实世界科学数据的问题和可能性，并就数据共享和分析项目的设计提出建议，包括辅助材料和工具。

9725228KonoldThe investigation will study a number of the projects that NSF is funding which students collect, share, and analyze real-world data in the course of conducting scientific investigations. IN these projects to date, the data gathering and sharing activities have gone more smoothly than the data ansalysis, in which many students and teachers have struggled. Such difficulties pose a serious barrier to fostering authentic mathematics and science learning and to enabling shared inquiry among students and scientists. This research will study the nature of the data analysis problems to provide a specific information that can help current projects better support data analysis skills, and a research base that can inform the development of future data analysis projects, materials, software, and teacher development efforts. The study will focus on issues such as data authenticity, tractability, and accessibility to students and teachers. Major products will include (1) analyses of individual projects' data sets, including and assessment of the extent to which interesting and interpretable findings can be reached and suggestions on how to make this data more accessible to students, and (2) a technical report that summarizes major findings, includes representative case studies that highlight both the problems and possibilities of students analyzing real world scientific data and makes recommendations about the design of data sharing and analysis projects, including ancillary materials and tools.