<![CDATA[21st-century science education demands mastery of inquiry skills as part of higher-order thinking. However, in learning about elements and compounds in an agricultural context, students often struggle to visualize abstract microscopic processes, resulting in low analytical ability. This study aims to develop a Generative AI Gemini Veo 3 video-based Student Worksheet to improve students' inquiry skills. The study employed a Research and Development (R&D) method using the 4D model (Define, Design, Develop, Disseminate) involving 94 eighth-grade students. Product validation by experts indicated high feasibility, with scores of 92% from material experts and 89% from media experts. The effectiveness test showed a significant improvement in students' inquiry skills, with an N-Gain value of 0.71 (high category), particularly in visual-based data analysis. These findings imply that integrating Generative AI-based video into learning materials can serve as an effective strategy to support inquiry-based learning and enhance students’ understanding of abstract scientific concepts.]]>
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