Purpose:Amid rapid technological development in the Fourth Industrial Revolution, this article engages with an important question, especially in the context of science, technology, engineering, and mathematics (STEM) education: Can technology itself transform teaching and learning? Design/Approach/Methods:Constructionist learning responds to the current "maker movement," which draws upon the innate human desire to make things with our hands. Two important elements of constructionist learning-technology literacy and engineering design-have implications for meeting the global need for expertise in the STEM disciplines. To date, the practice of teaching and learning mathematics remains to be dominated by manipulation of symbols with the paper-and-pencil medium. In response, this article discusses how constructionist learning can play an important role in teaching and learning school mathematics via a transdisciplinary approach for STEM education.Findings:Two examples of the authors' empirical research on constructionist learning in school mathematics classrooms with 3D printing are illustrated. Findings suggest that the 3D Printing Pens played an active role in the construction of artifact (physically) and mathematical meaning (cognitively).Originality/Value:The empirical results as discussed in this article warrant more design-based classroom interventions to further investigate students' constructionist learning in technological, hands-on, and innovation-oriented environments. Copyright ©2021 SAGE Publications.

In this paper, we explore the challenges experienced by a group of Primary 5 to 6 (age 12-14) students as they engaged in a series of problem-solving tasks through block-based programming. The challenges were analysed according to a taxonomy focusing on the presence of computational thinking (CT) elements in mathematics contexts: preparing problems, programming, create computational abstractions, as well as troubleshooting and debugging. Our results suggested that the challenges experienced by students were compounded by both having to learn the CT-based environment as well as to apply mathematical concepts and problem solving in that environment. Possible explanations for the observed challenges stemming from differences between CT and mathematical thinking are discussed in detail, along with suggestions towards improving the effectiveness of integrating CT into mathematics learning. This study provides evidence-based directions towards enriching mathematics education with computation. Copyright ©2021 SAGE Publications.