Agentic AI in STEM Education: Enhancing Cognitive Flexibility and Workforce Readiness

Abstract

This scientific article examines the transformative potential of Agentic AI in Science, Technology, Engineering, and Mathematics (STEM) education. It highlights how Agentic AI can enhance learning outcomes in these subjects, reduce cognitive load, and better prepare students for the demands of an AI-driven workforce. By utilising smart tools like GitHub Copilot, Agentic AI systems provide opportunities to improve STEM learning environments through personalised assistance, collaborative problem-solving, and skill development, all while automating repetitive tasks. This paper also discusses the future implications of the job market influenced by Agentic AI, emphasising the need for upskilling and the necessity for educational systems to adapt to emerging roles. It also touches on ethical aspects like fair access and AI literacy while highlighting how Agentic AI could help bridge the gap between traditional education and real-world job readiness.