Analysis of AI Based Teaching Methods in Technical Education with Reference to Health and Education Sector
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Abstract
This study looks at potential applications of Artificial Intelligence (AI)-based teaching methods in the technical education and healthcare sector. The study explains how integrating AI technology into technical education might revolutionize the field and teach students the skills and knowledge they need to thrive in an increasingly complex and linked society. Through a detailed examination of the existing research and case studies, this study provides insights into the revolutionary potential of AI-enabled education in shaping the future of professional development and learning in these important sectors. This research delves into the ways in which artificial intelligence (AI) tools—such as virtual reality apps, platforms for adaptive learning, and intelligent tutoring systems—can be customized to the unique requirements of technical learners in order to foster their engagement, customization, and comprehension of intricate ideas The field of healthcare education is being driven by the swift advancements in artificial intelligence (AI) technologies. In order to improve learning outcomes and professional and student skill development, this study examines how artificial intelligence (AI) can alter the way that medical education is taught. AI tools like personalized learning platforms, simulation-based learning, and intelligent tutoring systems are made to address the unique challenges that come with health education, like the need for practical training and the complexity of medical concepts. It also looks into how advanced humanoid robot Sophia could eventually be used in the medical industry. The ultimate goal of this transformative method is to enable students to actively engage in their education by encouraging critical thinking, creativity, and adaptability in the pursuit of lifelong and career learning.