Abstract
The rapid advancement of artificial intelligence and natural language processing has led to the development of increasingly sophisticated and versatile language models. AI models can create new data based on patterns and structures learned from existing data. These models are capable of generating content across various domains, such as text, images, music, video, and more. Generative AI models rely on machine learning techniques and neural networks to analyze, understand, and generate content that closely resembles human-generated output. Among them, ChatGPT, an AI chatbot developed by OpenAI, has emerged as a powerful tool with a wide range of applications across different fields. In recent years, the scientific and academic communities have devoted significant attention to researching and developing the ChatGPT chatbot. According to Google Scholar, by November 2024, over 212,000 articles have been published on ChatGPT in various journals and conferences of national and international significance. The growing development of the ChatGPT chatbot is set to significantly reshape the education market and raises concerns within the academic community about how future generations should be taught. For example, this technology can be used to efficiently write articles or essays in a matter of seconds, potentially eliminating the need for human intervention. This paper will provide a literature review on the potential application of the ChatGPT chatbot in teaching, key challenges, and risks associated with its use in education. The use of chatbots like ChatGPT and other AI models in education is a field of research that offers many opportunities to improve the learning experience for students and support teachers. However, to unlock their full educational potential, it is crucial to approach
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