Learning to Defend Material-Property Claims through Open Elasticity Resources

Elasticity resources allow students to calculate a material property quickly, yet a correct numerical answer can conceal an incorrect physical interpretation. This study examines the explanation of structure, directional response, aggregate averaging, and the limits of inference. The appraisal combines inspection of resource capabilities with calculations for crystal records. Every stiffness matrix is positive definite, and the largest stiffness–compliance inverse residual is approximately 8.0 × 10−13. These internal checks establish algebraic consistency without establishing measurement accuracy. Shear averaging bounds differ by more than one tenth of their Hill mean in 37.76% of records; the corresponding proportion for bulk modulus is 4.91%. Giving each composition equal weight changes these proportions only modestly. Directional calculations expose additional distinctions that scalar averages cannot express: the largest to smallest Young-modulus ratio is about eight for the selected copper record, whereas two carbon structures with the same space-group number have ratios near 132 and 1.16. The resource collection therefore supports demanding explanation tasks when identifiers, tensor conventions, units, and calculation conditions remain visible. Matminer assists numerical inspection, while ELATE supports interpretation of directional elasticity; neither capability establishes educational effectiveness by itself. The study identifies adoption requirements and assessable student work without assigning untested learning gains. Its central judgment is that useful educational access preserves the information needed to defend a material-property claim, rather than merely supplying an attractive display or a convenient average.