Affiliation:
1. Zhejiang Normal University, China
Abstract
This chapter delves into the intriguing realm of generative artificial intelligence (AI) models and their potential impact on undergraduate dissertations in the field of education. As AI continues to advance and permeate various aspects of our lives, the educational landscape is not immune to its transformative influence. The chapter begins by providing an overview of generative AI models, including their underlying principles and techniques such as deep learning, natural language processing, and neural networks. It then explores how these models can be harnessed to generate written content that is coherent, creative, and relevant, raising the question of whether undergraduate dissertations, as we know them, are destined to become obsolete. Advantages of employing generative AI models in education are scrutinized, highlighting their potential to enhance the efficiency and quality of student work.
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