Abstract
Natural Language Processing (NLP) and large language models, such as OpenAI's Generative Pre-trained Transformer (GPT), have the potential to significantly improve learning outcomes and assessment practises. These models can correct grammar and syntax, generate questions and quizzes, generate summaries and outlines, direct students to resources, and even help with research. They can also provide personalised adaptive learning to individual students and create interactive and engaging lesson plans for teachers and professors. However, there are ethical and societal concerns about the use of these models, such as bias and privacy concerns, as well as the potential impact on the roles of teachers and students in the classroom. As a result, it is critical to consider and address these implications in order to ensure that these technologies are used for the right reasons.As a result, it is critical to consider and address these implications in order to ensure that these technologies are used for the betterment of education and society as a whole.