The Dynamic Impact of Neuroscience and Artificial Intelligence on Education

Education can be revolutionized, results can be improved, and a sustainable educational system can be created by integrating neuroscience with artificial intelligence (AI). The objective of this study is to examine the applications of artificial intelligence (AI) and neuroscience in the classroom and how these approaches all support sustainability. The objective of this research is to understand the various ways that artificial intelligence (AI) and neuroscience are used in education. Examples of these uses include professional training, social-emotional learning, individualized learning, improving feedback, and instructional facilitation. The research attempts to discover ways for developing a sustainable and efficient educational system by looking at their possible synergies. A detailed review of the peer-reviewed literature was carried out using research databases including Springer, JSTOR, ScienceDirect, and Google Scholar. The research was mostly focused on articles discussing the connection between AI, neuroscience, and education. Studies that matched the required standards for relevance, methodological rigor, and thematic recurrence were chosen. The study’s conclusion is that there is a lot of opportunity for AI-driven innovations to improve educational accessibility and save resource consumption. Examples of these innovations include virtual laboratories, AI-powered tutors, adaptive learning platforms, and automated grading systems. Additionally, individualized learning experiences, motivation for students, and targeted instruction are all influenced by neuroscience, which enhances learning outcomes and promotes sustainability in the educational system. The inclusion of artificial intelligence and neuroscience into education has revolutionary prospects for establishing a long-lasting and productive educational setting. Realizing the full potential of these technologies in education and preparing students for future problems requires bridging the research-practice gap, resolving ethical issues, and encouraging multidisciplinary collaborating.