Abstract
This study is to investigate the effect of PBL-based Data Science Education Program using App Inventor on Computational Thinking and Creativity of elementary students. Based on the results of the pre-requisite analysis by Rossetts demand analysis model, PBL-based Data Science Education program was designed according to the procedure of ADDIE model which is 42 hours of classroom instruction for elementary student. As a result of the Paired t-test, it was proved that the Computational Thinking was statistically significantly improved in the post-test. In addition, as a result of the Paired t-test and Wilcoxons signed rank test, it was found that the sub-factors of Creativity were Originality, Elavoration, Closure, Average, and Index. Therefore, it was confirmed that the PBL-based Data Science Education Program using App Inventor is effective in improving Computational Thinking and Creativity of elementary student.
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