A Study of Student Investigations in Data-Sharing Projects

9725228konold该调查将研究NSF资助的一些项目，这些项目由学生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。迄今为止，在这些项目中，数据收集和共享活动比数据分析进行得更顺利，而许多学生和老师都在努力进行数据分析。这些困难对培养真正的数学和科学学习以及使学生和科学家能够共同探究构成了严重障碍。本研究将研究数据分析问题的本质，以提供一个具体的信息，可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、材料、软件和教师发展工作的发展提供一个研究基础。该研究将重点关注数据的真实性、可追溯性以及对学生和教师的可访问性等问题。主要产品将包括(1)对单个项目数据集的分析，包括评估可达到有趣和可解释的发现的程度，以及如何使这些数据更容易被学生获取的建议，以及(2)总结主要发现的技术报告。包括有代表性的案例研究，突出学生分析真实世界科学数据的问题和可能性，并对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.