Exploring the Impact of ChatGPT on Scientific Research: Assessing Strengths, Weaknesses, Opportunities, and Threats

Authors

DOI:

https://doi.org/10.25159/1947-9417/16006

Keywords:

AI, ethics, artificial intelligence, ChatGPT , large language model, prompt engineering, scientific research, SWOT analysis

Abstract

ChatGPT’s adaptability spans various fields, notably scientific research. This research investigates the transformative possibilities of incorporating ChatGPT into scientific enquiry, employing a strengths, weaknesses, opportunities, and threats (SWOT) analysis to examine its merits and drawbacks. The analysis highlights the model’s strengths, encompassing an extensive knowledge base, linguistic proficiency, information-retrieval capabilities, and continuous learning capacity. Conversely, it uncovers weaknesses such as a lack of contextual comprehension, potential dependence on training data, limitations in information verification, and constrained critical thinking abilities. Amidst these considerations, opportunities emerge, including support for literature reviews, fostering collaborative ideation, facilitating seamless language translation, interpretation, and enhancing knowledge dissemination. However, a range of threats looms, encompassing concerns about plagiarism, ethical dilemmas, the dissemination of misinformation, and the potential erosion of higher-order cognitive skills. These multifaceted elements warrant comprehensive examination. Recommendations for researchers incorporating ChatGPT advocate for a balanced approach that harmonises artificial intelligence with human creativity to maintain research integrity. The potential of ChatGPT to reshape scientific exploration hinges on judicious use and ongoing oversight.

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2024-10-14

How to Cite

Alfarraj, Yousef F., and Yousef Wardat. 2024. “Exploring the Impact of ChatGPT on Scientific Research: Assessing Strengths, Weaknesses, Opportunities, and Threats”. Education As Change 28 (October):27 pages. https://doi.org/10.25159/1947-9417/16006.

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Articles
Received 2024-02-10
Accepted 2024-08-07
Published 2024-10-14