With the advancement of technology, flexibility and adaptability have become increasingly prominent concepts in architectural design, leading to a growing demand for transformable and reconfigurable spaces. This shift has resulted in the adoption of kinetic structures, which function dynamically and responsively by incorporating data from the environment into elements such as façades or other building components. These structures possess the capability to change shape in response to factors such as climatic conditions, user needs, and energy efficiency requirements. In particular, the development of smart materials has facilitated the wider and more effective implementation of kinetic systems. Moreover, advancements in computer-aided design tools have enhanced the flexibility of production and generation processes in kinetic architecture, enabling more innovative and complex solutions through methods such as parametric design, generative design, and performance-based design. This study investigates kinetic architectural design approaches that integrate material properties with computational design methods. The primary aim is to analyze such design approaches and present a systematic decision-making framework that can serve as a reference for designers. The examined examples are evaluated under three main categories: kinetic structures, material usage, and computational design methods, along with their associated sub-criteria. The findings indicate that kinetic architectural applications predominantly employ parametric design, simulation, and optimization methods, while considering the technical and constructional properties of materials throughout the process. Future research may benefit from offering designers a more integrated approach, incorporating alternative methods and kinetic features into the design process.