Prasetya, Muhammad Gibran Alif
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DEVELOPMENT OF VIDEO-BASED STUDENT WORKSHEETS (LKM) USING GEMINI VEO 3 TO IMPROVE STUDENTS' INQUIRY SKILLS IN SCIENCE LEARNING Prasetya, Muhammad Gibran Alif; Ellianawati, Ellianawati; Widiyatmoko, Arif
Jurnal Pendidikan Matematika dan IPA Vol 17, No 2 (2026): May 2026 (in press)
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jpmipa.v17i2.104232

Abstract

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.