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

Romero-Untiveros L.; Melgarejo-Solis R. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/leird2024.1.1.782

Resumen

The rapid evolution of Artificial Intelligence (AI) has profoundly impacted higher education, particularly in fields such as Systems Engineering. This paper introduces a novel regulatory framework designed to integrate AI into university teaching. Unlike existing frameworks, the proposed model emphasizes not only educational innovation but also entrepreneurship, focusing on fostering the ethical use of AI in academic contexts. Using the "Object-Oriented Programming Techniques" course at a university in North Lima as a case study, this research demonstrates how AI can enhance personalized learning, automate assessments, and facilitate ethical decision-making. Key elements of the framework include continuous updates to infrastructure, ethical guidelines to mitigate AI-related risks, and strategies to promote entrepreneurial thinking through AI-driven tools. While previous studies have shown improvements in academic performance and engagement through similar frameworks, this research highlights the unique contribution of AI in identifying market opportunities and developing innovative business models. This entrepreneurial focus distinguishes the proposed framework, preparing students for leadership roles in a technology-driven economy. Future research should refine AI algorithms to minimize biases and expand this regulatory model to other disciplines, ensuring equitable and transparent integration of AI across educational contexts. This study not only addresses the academic implications of AI but also underscores the critical role of responsible innovation in enhancing both learning outcomes and entrepreneurial skills in higher education.

Instituciones: Universidad Privada del Norte