Pooled Data Analysis & Interpretation
In CSCS, Cloud-based collaborative tools are used to collect, analyze, and interpret whole-group or whold-class data. Students pool their data and work in groups to analyze trends and patterns in an effort to create models that explain phenomena and predict future outcomes.
For example, rather than having a single small group of students plot 5 data points for an experiment, 10 groups in a classroom (or even 50 groups across periods) can pool their data for a much larger sample size. Using the CSCS model, charts and graphs are readily available to instantly illustrate patterns and trends in the data. There are a variety of resources students by which students can pool their data, perform statistical analyses, and interpret trends in large-group data.