In the previous study, micromechanical analysis of stiffness of an intelligent material containing shape memory polymer particles was performed by taking into consideration of the distributions of glass-transition temperature T_g of the particle and the magnitude of pre-strain given to a particle a priori. In this study, by using the previous results, temperature dependence of the macroscopic elastic modulus E of such a material is calculated to the given T_g distributions. It can be seen from the results that the value of E after shape recovery of particles increases with increasing the prestrain and such increase in E is strongly influenced by T_g distribution of particles and the maximum heating temperature of the material. We conclude from these results that the macroscopic stiffness of an intelligent material containing shape memory polymer particles may be designed after shape recovery of particles by the proper choice of the type of T_g distribution of particles.