Generative AI in education for space and remote learning

The rapid rise of generative artificial intelligence (GAI) – AI systems capable of autonomously producing text, images, and simulations – is transforming educational practice worldwide. This paper examines the integration of generative AI into education, with a focus on remote and space-based learning environments. We review the current literature and policy context, highlighting how AI-enabled tools (e.g. AI tutors, content generators, and VR/AR simulators) can personalize learning, maintain continuity for isolated learners, and create immersive virtual labs. Examples include NASA’s VR training systems for astronauts and an AI-driven “Antarctic Explorer” platform for polar science education. However, we also analyze significant challenges: threats to academic integrity (with up to 58% of students admitting misuse of AI in assignments), embedded biases in AI outputs, and access inequities. International ethical guidelines (e.g. UNESCO 2023) and national strategies (e.g. US AI education initiatives) stress human-centered design, data privacy, and equity. We conclude that, when carefully governed, generative AI can extend STEM learning into extreme environments (deep space, polar bases), support astronaut training, and ultimately prepare a more resilient and inclusive space-oriented workforce.