Abstract:

The application of Artificial Intelligence (AI) in aeronautical education is transforming traditional teaching paradigms by introducing innovative, adaptive, and immersive learning environments. This study explores the integration of AI technologies into aeronautical curricula, emphasizing their capacity to enhance both theoretical understanding and practical skills development in key areas such as aerodynamics, propulsion systems, avionics, aircraft performance, and flight mechanics.

The research employs a mixed-methods approach, including a comprehensive literature review, case studies of institutions implementing AI, and the deployment of a pilot program in selected aeronautical courses. Surveys and interviews with students, instructors, and administrators complement the analysis, offering qualitative insights into the educational impact of AI. The pilot program involved the use of intelligent tutoring systems, VR/AR simulations, and AI-driven chatbots to support technical problem-solving, regulatory procedures, and communication training.

Preliminary results reveal notable improvements in learning outcomes. Students exposed to AI-based tools showed enhanced comprehension of complex subjects and demonstrated higher levels of engagement, particularly through immersive VR/AR simulations that replicate cockpit environments, maintenance procedures, and emergency scenarios in a safe, controlled setting. Intelligent Tutoring Systems enabled personalized learning pathways by adapting to individual performance and providing real-time feedback, while instructors reported increased efficiency in course planning and student assessment through AI-powered analytics and automated feedback systems.

However, the integration of AI is not without challenges. Key concerns include data privacy, the ethical use of AI in evaluating student performance, and the urgent need for faculty training in the use of advanced educational technologies. The study highlights the importance of establishing regulatory and ethical frameworks to ensure responsible implementation and mitigate potential risks.

In conclusion, this research demonstrates that AI has significant potential to act as a catalyst for a more interactive, efficient, and future-ready aeronautical education system. By enabling personalized instruction, realistic training environments, and data-informed pedagogical strategies, AI prepares students with the competencies demanded by a rapidly evolving aerospace industry. Future work will focus on long-term impact assessment, the development of standardized AI-based evaluation tools, and the creation of an accessible framework to guide institutions in adopting AI technologies effectively and ethically.

Keywords:

Education, artificial intelligence, aerospace, industry, students, learning, educational.