Interpreting graphs intended to show covariation (i.e., scatterplots and two-way tables) presents challenges to college students, yet the Common Core State Standards now require the study of covariation in 8th grade. The visual and dynamic nature of TinkerPlots makes it possible to explore this topic in new ways. Cliff Konold will present several approaches that help support the interpretation and understanding of covariation at the middle school level.
Cliff Konold, a research associate professor, directed both the TinkerPlots software development effort at University of Massachusetts and oversaw the project as a whole. Cliff's research focuses on informal understandings of probability and data analysis and in applying this research to improving instruction. With previous NSF funding, he developed curricula and educational software for teaching probability and data analysis at the high-school level.