Tsai, M.L., Ong, C.W. and Chen, C.L. (2023) Exploring the Use of Large Language Models (LLMs) in Chemical Engineering Education: Building Core Course Problem Models with Chat-GPT. Education for Chemical Engineers, 44, 71-95.
https://doi.org/10.1016/j.ece.2023.05.001

has been cited by the following article:

• TITLE: ChatGPT: Application in Chemistry Education and Challenges

  AUTHORS: Vladimir L. Kodkin, Ekaterina V. Artem’eva

  KEYWORDS: ChatGPT 3.5, Artificial Intelligence, AI for Education, Computer-Based Learning

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.3, March 28, 2024

  ABSTRACT: The paper discusses the advancements and applications of neural networks, specifically ChatGPT, in various fields, including chemistry education and research. It examines the benefits of AI and ChatGPT, such as their ability to process and analyze large amounts of data, create personalized training systems, and offer problem-solving recommendations. The paper delves into practical applications, showcasing how ChatGPT can be utilised to augment chemistry learning. It provides examples of using ChatGPT for creating tests, generating multiple-choice questions, and studying chemistry in general. Concerns are voiced about the ethical and societal impact of AI development. In conclusion, it explores the exciting potential of AI to tackle challenges that may exceed human capabilities alone, paving the way for further exploration and collaboration between humans and intelligent machines.