To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…

Data-driven inquiry as a science practice and instructional approach can provide a powerful context for project-based learning (PBL). Students engage in data-driven inquiry when they explore a rich data set and observe patterns, ask questions suggested by the data, and pursue answers about underlying phenomena. Krajcik (2015) describes five…

Renee Clary and James Wandersee implemented the Stratigraphy and Data Interpretation Project described in this article when they recognized that some students were having difficulties constructing appropriate graphics and interpreting their constructed graphics for an earlier mathematics-science project in their classrooms. They also previously…

A collaborating scientist--a rewarding addition to any high school science program--can help students collect and analyze data that either replicates or parallels the work of the partnering scientist. This type of partnership is beneficial for both students and scientists, and perhaps there has never been a better time to consider such a…

Describes student work in collecting data about the Fresh Kills landfill in Staten Island and how their research contributed to the decision to close the landfill. Includes discussion of research into other trash alternatives for the area. (DDR)

With schools being asked to accomplish more and more, it is increasingly important to, whenever possible, address multiple goals in teaching. Educating the whole child dictates that we find ways to ensure our graduates are well-rounded, independent thinkers capable of becoming well-adjusted, contributing adults. Thus community service has become a…