Big Data as a Mediator in Science Teaching: A Proposal.

摘要: We live in a digital world that, 2010, crossed the mark of one zettabyte data. This huge amount data processed on computers extremely fast with optimized techniques allows to find insights new and emerging types content answer questions that were previously considered beyond reach. is idea Big Data. Google now offers Correlate analysis public tool from search term or series temporal regional data, provides list queries whose frequencies follow patterns best correlate according Pearson determination coefficient R2. Of course, "correlation does not imply causation." believe, however, there potential for these big tools unexpected correlations may serve as clues interesting phenomena, pedagogical even scientific point view. As far we know, this first proposal use Data Science Teaching, constructionist character, taking mediators computer free such Correlate. It also has an epistemological bias, being merely training computational infrastructure predictive analytics, but aiming at providing students better understanding physical concepts, observation, measurement, laws, theory, causality. With it, they would be able become good specialists, so needed "data scientists" solve challenges Data.