Abstract
The utilization of artificial intelligence in language modeling has seen a significant rise in recent years, particularly in the area of text generation. One of the most prominent models in this field is ChatGPT3. This study aims to assess ChatGPT's ability to provide feedback on college-level technical reports. The research tested three different control groups, one was ChatGPT, the other was a student who barely worked with ChatGPT, and one who took it step by step with ChatGPT. Several different technical report writing assignments and projects were assigned to ChatGPT to evaluate its ability to guide a student through their completion and help them improve the quality of their writing. The merit of each component and final product was evaluated using the instructor's grading rubrics. Several types of reports were tested such as resumes and cover letters, argumentative essays, position papers, critical approach analyses, and high level technical lab reports. This study demonstrates the potential of ChatGPT as an AI tutor for technical writing tasks. The results of the study show that ChatGPT has the ability to provide insightful feedback on college-level technical reports. The findings of this research provide valuable insights into the effectiveness of using AI in language modeling to support student learning in a practical and efficient manner. The implications of this study could have a significant impact on the education field and the future use of AI as a tool for language modeling and teaching.
Author Information
Samuel Horine, Embry-Riddle Aeronautical University, United States
George Pozek, Embry-Riddle Aeronautical University, United States
Brian Butka, Embry-Riddle Aeronautical University, United States
Paper Information
Conference: PCE2023
Stream: Design
This paper is part of the PCE2023 Conference Proceedings (View)
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To cite this article:
Horine S., Pozek G., & Butka B. (2023) Can Artificial Intelligence Be Used as a Tutor to Improve Student Performance in a Technical Writing Class? ISSN: 2758-0962 The Paris Conference on Education 2023: Official Conference Proceedings (pp. 305-321) https://doi.org/10.22492/issn.2758-0962.2023.27
To link to this article: https://doi.org/10.22492/issn.2758-0962.2023.27
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