Enhancing Marine Biology Education Through Game- Based Augmented Reality: A STEAM-Driven Approach Using AI-Generated 3D Marine Life Models

Marine biology education presents unique challenges due to the complexity and vastness of underwater ecosystems. Traditional teaching methods often lack the visual and interactive elements needed to effectively engage students and convey the depth of marine life knowledge. To address this gap, we propose an Augmented Reality (AR)-based game designed to enhance marine biology education within the STEAM (Science, Technology, Engineering, Arts, and Mathematics) framework. The application leverages AI-generated 3D models of marine species, allowing students to explore dynamic and immersive underwater environments. Using Unity and advanced generative techniques such as GANs and neural rendering, lifelike octopuses, corals, and fish are visualized in AR scenarios aligned with curriculum standards. Students interact with marine ecosystems through gameplay that reinforces learning objectives, such as ecological balance, food chains, and environmental threats. The game includes assessments embedded within the experience to measure student progress and adapt learning paths accordingly. This approach not only supports knowledge retention through visualization and interactivity but also fosters curiosity and critical thinking. The integration of AR and AI technologies into game-based learning aims to revolutionize marine science education, making it more accessible, engaging, and impactful. The project contributes toward a sustainable and digitally-enhanced future for STEM/STEAM learning environments.