Paper Details

Name: Mahesh S
Country: India

Year: 2026
Volume: Volume No: 13, Issue No: 1, Year: 2026
Page Number: 240-246
DOI: https://doi.org/10.5281/zenodo.20389791

This paper explores the influence of artificial intelligence on education and learning and the Generative Pre-trained Transformer (GPT) models in the field of education. As artificial intelligence technologies become increasingly embedded in learning environments, this area is undergoing swift transformation. Exploring the forefront of AI-driven educational innovation, this conference highlights breakthroughs in customized learning, intelligent guidance, and flexible assessment. The primary purpose of the study is to evaluate both the benefits and challenges of implementing AI techniques and GPT models to enhance educational outcomes. The implication of artificial intelligence on education is multifaceted, influencing individual students, schools, higher education institutions, curriculum design, and educational policy making. Despite the complexity of this ecosystem, research has shown that AI can also have a positive impact on cognitive learning. Notably, AI was born like an avatar, where the number of people losing jobs all over the world is due to the increase of AI. The revolutionary feature of AI robots is that they can make decisions on their own; in this case, the input of knowledge given to the brain will gradually decrease. Integrating AI into adaptive learning platforms to enhance student-centered education and the potential to automate grading processes, promoting efficiency and accuracy. The seamless integration of artificial intelligence is revolutionizing modern education, redefining the learning framework, and empowering the development of future professionals. Through a comprehensive analysis of existing AI technologies and methodologies, this study aims to explore the transformative potential of AI in education, with a focus on personalized learning, enhanced accessibility, improved efficiency, and preparing students for the complexities of the modern work force.