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Every year, a large volume of information about students' performance is processed in schools, colleges, and higher studies institutes. This information statistically associates students' performance with their study schedule and family-related characteristics. Recent methods have significantly contributed to student's cognitive skills (CSs) prediction area of research, but they are insufficient to address the challenges created by Study-Related Characteristics (SRC) of a student. Therefore, in the current attempt, we present a multilayer CS measurement method that uses SRC for student's skills prediction. The contributions of the proposed method are threefold. First, during quantization, a multilayer model is initiated by splitting SRC into five factors, and a specific range is assigned to each factor (timing schedules of studying, outing, traveling to school, and free timing as well as parent's relationships). Second, the range of …