This paper describes a computer-based tool for the selection of 3D printer for educational propose by using Multi
Attribute Decision Making (MADM) strategies particularly Analytic Hierarchy Process (AHP) and Technique for Order
Preference by Similarity to Ideal Solution (TOPSIS). In education, 3D printing technologies facilitate improved learning, skills
development, and increased student and teacher engagement with the subject matter. Furthermore, 3D printing sparks greater
creativity and collaboration in solving problems, to settle on a best option for teaching learning process tasks into account.
MADM methods are interpretative processes which are well suited in choice of different 3D printers.