Details:

Journal Title:
Computers and Education: Artificial Intelligence
Personal Author:
Pursnani, Vinay ; Sermet, Yusuf ; Kurt, Musa ; Demir, Ibrahim
Pursnani, Vinay ; Sermet, Yusuf ; Kurt, Musa ; Demir, Ibrahim Less -
NOAA Program & Office:
NWS (National Weather Service)
Description:
In recent years, advancements in artificial intelligence (AI) have led to the development of large language models like GPT-4, demonstrating potential applications in various fields, including education. This study investigates the feasibility and effectiveness of using ChatGPT, a GPT-4 based model, in achieving satisfactory performance on the Fundamentals of Engineering (FE) Environmental Exam. This study further shows a significant improvement in the model's accuracy when answering FE exam questions through noninvasive prompt modifications, substantiating the utility of prompt modification as a viable approach to enhance AI performance in educational contexts. Furthermore, the findings reflect remarkable improvements in mathematical capabilities across successive iterations of ChatGPT models, showcasing their potential in solving complex engineering problems. Our paper also explores future research directions, emphasizing the importance of addressing AI challenges in education, enhancing accessibility and inclusion for diverse student populations, and developing AI-resistant exam questions to maintain examination integrity. By evaluating the performance of ChatGPT in the context of the FE Environmental Exam, this study contributes valuable insights into the potential applications and limitations of large language models in educational settings. As AI continues to evolve, these findings offer a foundation for further research into the responsible and effective integration of AI models across various disciplines, ultimately optimizing the learning experience and improving student outcomes.
Keywords:
[+]
Artificial Intelligence Computer Science Applications Education
Source:
Computers and Education: Artificial Intelligence, 5, 100183
DOI:
https://doi.org/10.1016/j.caeai.2023.100183
ISSN:
2666-920X
Format:
PDF
Publisher:
Elsevier BV
Document Type:
Journal Article
Funding:
Grant no. NA22NWS4320003
License:
https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:
CC BY-NC-ND
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:db7c3b8390ad84ae2a164e5c95620a17ea3922fa004428798dafbd9442059076
Download URL:
https://repository.library.noaa.gov/view/noaa/59490/noaa_59490_DS1.pdf
File Type:

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