Optimizing 21st Century Skills Based on Cognitive Style by Implementing Figma-CTLLM in Poaceae Diversity Learning

A notable gap persists in the educational literature regarding the optimization of 21st century competencies, such as critical thinking, communication, and collaboration, when tailored to students' distinct cognitive styles. This study addresses this lacuna by investigating the efficacy of a novel pedagogical tool, Figma-based Contextual Teaching and Learning Media (Figma-CTLLM), for enhancing these skills, a subject that has not been previously examined. The research aims to optimize critical thinking, communication, and collaboration skills based on reflective and impulsive cognitive styles by implementing Figma-CTLLM in Poaceae diversity learning. The study employs a descriptive quantitative research design with a sample of 26 students. The research instruments included the Matching Familiar Figures Test (MFFT), written tests for critical thinking and communication skills, and observation sheets for collaboration skills. These instruments demonstrated robust validity and reliability. The data analysis technique was carried out descriptively and quantitatively in three stages. The research results showed that eight students had a reflective cognitive style, and eight had an impulsive one. The results of the analysis of each skill show that there is no significant difference in critical thinking, communication, and collaboration skill scores between students with a reflective and impulsive cognitive style. This is proven by the average percentage value for each skill in the same category, which is very high among students with a reflective cognitive style and impulsiveness. This was also confirmed by the Mann- Whitney U test for each skill with a significance value (p) above 0.05 (p>0.05). Based on the results, the implementation of figma-CTLLM can optimize critical thinking, communication, and collaboration skills in students with reflective and impulsive cognitive styles in Poaceae diversity learning.