SWOT analysis of ChatGPT in academic integrity: evaluating the strengths, weaknesses, opportunities and threats of a highly advanced language model for promoting academic integrity. (Record no. 22156)

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control field 20250116163726.0
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040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 25134
Author Radha, L.
245 ## - TITLE STATEMENT
Title SWOT analysis of ChatGPT in academic integrity: evaluating the strengths, weaknesses, opportunities and threats of a highly advanced language model for promoting academic integrity.
250 ## - EDITION STATEMENT
Volume, Issue number Vol.37(4), Apr
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sangli
Name of publisher, distributor, etc. K.E. Society's Rajarambapu Institute of Technology
Year 2024
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Pagination 29-35p.
520 ## - SUMMARY, ETC.
Summary, etc. Advanced language models, such as ChatGPT, have the potential to play a significant role in promoting academic integrity. In this paper, we present a SWOT analysis of ChatGPT in the context of academic integrity. We evaluate its strengths, weaknesses, opportunities, and threats in this domain and examine its potential impact on education. Our analysis reveals that ChatGPT's ability to detect plagiarism and identify academic misconduct is a major strength, while its lack of contextual understanding and potential biases are identified as weaknesses and threats. There are several opportunities for ChatGPT to improve its role in promoting academic integrity, such as expanding its knowledge base and language understanding capabilities. Our analysis highlights the need for further research and development to improve the accuracy and reliability of ChatGPT in detecting academic misconduct and promoting ethical behavior in education. Ultimately, the responsible and ethical use of ChatGPT in academic integrity has the potential to benefit students and educators, and strengthen the integrity of the education system. ChatGPT generates text based on the input it receives,and users may be tempted to use the output without proper attribution. It is crucial for users to understand that content generated by ChatGPT should be treated like any other external source, and proper citation and attribution are necessary to avoid plagiarism.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4621
Topical term or geographic name entry element Civil Engineering
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9 (RLIN) 25135
Co-Author Arumugam, J.
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Place, publisher, and date of publication Sangli Rajarambapu Institute Of Technology
International Standard Serial Number 2349-2473
Title Journal of engineering education transformations (JEET)
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URL https://journaleet.in/articles/swot-analysis-of-chatgpt-in-academic-integrity-evaluating-the-strengths-weaknesses-opportunities-and-threats-of-a-highly-advanced-language-model-for-promoting-academic-integrity
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 16/01/2025   2025-0062 16/01/2025 16/01/2025 Articles Abstract Database
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