REVOLUTIONIZING STEM EDUCATION WITH GENERATIVE AI:

Abstract

Generative Artificial Intelligence is advancing rapidly and revolutionising the STEM education practice from conventional to interactive, personalised and technology-driven practices. Generative AI-powered tools are likely to be used more and more in the development of automated content creation, intelligent agents that act as tutors, virtual laboratories, real-time problem solving through natural language interaction with computer-moderated learning environments. From enabling students to become more engaged, to simplifying difficult science and math concepts, these innovations have the potential to enhance learning by providing reliable and accessible education for students of all kinds. While generative AI offers many potential benefits to enhance learning in STEM education, its use also poses challenges concerning accuracy, ethics, privacy and security of student data, misuse or abuse of academic integrity policies in different disciplines and overreliance. This is the way we made accusations about improper use of AI tools in assessments, no transparency from AI on decision-making affects students critical thinking and poses challenges for the educational facilitators and institutions. As a result, the reconciliation of innovative approaches with responsible deployment is an important topic in contemporary education systems. This paper discusses the main opportunities, risks and future possibilities of generative AI in enhancing STEM education systems. This study synthesizes how AI can increase personalisation in learning and inter-disciplinary innovation while stressing the necessity for ethical guidelines, human oversight and acceptable practices of AI. The paper also describes a path forward to integrating generative AI into education while ensuring technological effectiveness and meaningful learning outcomes.