Regulation for the use of Artificial Intelligence in Systems Engineering Education to foster educational innovation and entrepreneurship

Resumen

The rapid advancement of Artificial Intelligence (AI) has significantly impacted higher education, particularly in fields like Systems Engineering. This research develops a regulatory framework for integrating AI into university teaching, focusing on promoting educational innovation and entrepreneurship. By analyzing the "Object-Oriented Programming Techniques" course at a university in North Lima, the study identifies ways AI can enhance personalized learning, automate assessments, and support ethical decision-making. The proposed framework includes guidelines for the ethical use of AI, continuous infrastructure improvement, and the promotion of entrepreneurship through AI tools. Implementing similar frameworks in previous studies showed improvements in academic performance and student engagement, highlighting the need for ethical guidelines and infrastructure updates. The framework encourages the use of AI to identify market opportunities and develop innovative business models, preparing students for leadership roles in a technology-driven world. Future research should focus on refining AI algorithms to reduce biases and expanding the framework to other courses and disciplines, ensuring an equitable and transparent integration of AI in education. This paper not only addresses the educational implications of AI but also emphasizes the importance of responsible innovation to enhance both learning outcomes and entrepreneurial capabilities in the university context.