The purpose of this study was to analyze the types of questions generated through big data analysis, establish hypotheses based on the generated questions, and determine authenticity by analyzing the types of evidence evaluation. To this end, ‘COVID-19’ and ‘yellow dust’, which are relatively familiar subjects and various types of big data have been accumulated in large quantities, were selected as research themes. The subjects of the study were 137 7th grade students, 72 male students, and 65 female students. The results of the study are as follows. First, in big data analysis, questions were created centered on conjectural questions. Second, among the types of evidence evaluation, the rejection type did not appear. Therefore, it is necessary to establish a teaching strategy so that various types of questions can be presented. In addition, it is necessary to teach how to critically judge collected big data and how to use various big data.