<![CDATA[Science education in elementary schools must adapt to advancements in artificial intelligence and the demands of 21st-century skills, particularly students scientific thinking abilities. Conventional teaching methods have been shown to limit students exploration, active participation, and scientific reasoning; therefore, the integration of more adaptive and interactive approaches through Artificial Intelligence (AI) and Game-Based Learning (GBL) strategies is necessary. This study aims to describe the urgency and forms of AI implementation in IPAS instruction to stimulate students scientific thinking skills at SDN 19 Kota Bima. The study employed a qualitative approach with data sources comprising teachers, students, and learning activities. Data collection methods included classroom observations, in-depth interviews, and documentation, involving IPAS teachers and students as participants selected through purposive sampling based on the research needs. The learning context was observed directly. Data analysis was conducted through thematic coding, data reduction, data presentation, and verification using source triangulation, member checking, and peer discussion. The research findings, based on interviews, indicate that the integration of AI through GBL in IPAS learning has transformed the instructional design into a more exploratory approach. This is evident from the increased active participation of students and enhanced collaboration, as observed through an increase in their ability to observe, ask questions, test hypotheses, and draw conclusions in accordance with the indicators of scientific thinking. Based on interviews with teachers and students, IPAS learning through AI functions as a digital experimental medium that enables students to solve problems independently with the teacher serving as a facilitator. This approach also fosters a transformation of the school’s learning culture toward inquiry-based learning that is more adaptive, enjoyable, and relevant to advancements in educational technology.]]>
