Advanced STEM education through action science enhanced with artificial intelligence

Abstract

This article explores the integration of Action Science—an experiential STEM approach using extreme sports—with artificial intelligence (AI) to enhance teaching and learning. Action Science employs activities such as skateboarding and BMX, along with multimedia resources, to engage students in real-world applications of STEM concepts through a constructivist framework. The addition of AI technologies, including machine learning, natural language processing, and immersive environments, enables personalized instruction, real-time feedback, and adaptive learning pathways that support diverse learners and improve accessibility. The study highlights how AI can strengthen student engagement and deepen understanding by tailoring content to individual needs, particularly within problem-based and inquiry-based learning environments. These approaches encourage students to ask questions, evaluate evidence, and construct knowledge—skills that align with effective and responsible AI use. AI tools can further enhance these processes by guiding inquiry, recommending resources, and fostering independent learning and digital literacy. However, the article also emphasizes the ethical challenges associated with AI integration, including the risk of reinforcing systemic biases and inequities. It calls for the development of inclusive and equitable frameworks to ensure responsible implementation. Overall, the combination of AI and Action Science offers a promising pathway for creating adaptive, engaging STEM learning environments that promote creativity, critical thinking, and inclusivity while preparing students for a technologically complex world.