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The importance of spatial ability has been emphasized in mathematics curricula worldwide and learning about nets is one effective way to develop spatial ability. The purpose of the study is to discover and evaluate numerous kinds of nets shapes with folding sequences by employing machine learning (ML) to enrich the learning activities of folding nets. This poster also presents instructional strategies and proposes a study design based on the findings of the research.