Investigating the impacts of ChatGPT on education through EEG-based deep learning analysis

• Main Author: Beh, Ming Jun
• Other Authors: Li Fang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/175368
• Institution: Nanyang Technological University

Chat Generative Pre-Trained Transformer (ChatGPT), more commonly known as ChatGPT, is a large language model developed by OpenAI. Since its public release in November 2022, ChatGPT has been touted as a significant breakthrough in the field of Artificial Intelligence (AI). Its ability to understand natural language and produce high-quality human-like responses has spawned various use cases in different domains. This research project will investigate ChatGPT’s impacts on education using an Electroencephalogram (EEG) analysis method. First, there will be a review and comparison of the features offered by the different versions of ChatGPT. Next, the proposed ChatGPT application – a study notes generator will be introduced and evaluated. The project will also highlight the enhancements made to an attention-based car racing game. Lastly, the findings of an experiment that measures students’ attention levels on traditional study methods versus ChatGPT will be presented. The experiment will conclude on the impacts of ChatGPT on education based on how effective ChatGPT is able to retain students’ attention while studying.