Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367172365> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4367172365 endingPage "268" @default.
- W4367172365 startingPage "259" @default.
- W4367172365 abstract "Purpose With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach In this study, a language model was defined to achieve high accuracy in distinguishing ChatGPT-generated essays from human written essays with a particular focus on “not falsely” classifying genuinely human-written essays as AI-generated (Negative). Findings Via support vector machine (SVM) algorithm 100% accuracy was recorded for identifying human generated essays. The author discussed the key use of Recall and F2 score for measuring classification performance and the importance of eliminating False Negatives and making sure that no actual human generated essays are incorrectly classified as AI generated. The results of the proposed model's classification algorithms were compared to those of AI-generated text detection software developed by OpenAI, GPTZero and Copyleaks. Practical implications AI-generated essays submitted by students can be detected by teachers and educational designers using the proposed language model and machine learning (ML) classifier at a high accuracy. Human (student)-generated essays can and must be correctly identified with 100% accuracy even if the overall classification accuracy performance is slightly reduced. Originality/value This is the first and only study that used an n-gram bag-of-words (BOWs) discrepancy language model as input for a classifier to make such prediction and compared the classification results of other AI-generated text detection software in an empirical way." @default.
- W4367172365 created "2023-04-28" @default.
- W4367172365 creator A5057613386 @default.
- W4367172365 date "2023-05-01" @default.
- W4367172365 modified "2023-10-13" @default.
- W4367172365 title "Detecting AI-generated essays: the ChatGPT challenge" @default.
- W4367172365 cites W2070016268 @default.
- W4367172365 cites W2100796029 @default.
- W4367172365 cites W2166341593 @default.
- W4367172365 cites W2604799547 @default.
- W4367172365 cites W4221015229 @default.
- W4367172365 cites W4236521339 @default.
- W4367172365 doi "https://doi.org/10.1108/ijilt-03-2023-0043" @default.
- W4367172365 hasPublicationYear "2023" @default.
- W4367172365 type Work @default.
- W4367172365 citedByCount "7" @default.
- W4367172365 countsByYear W43671723652023 @default.
- W4367172365 crossrefType "journal-article" @default.
- W4367172365 hasAuthorship W4367172365A5057613386 @default.
- W4367172365 hasConcept C100660578 @default.
- W4367172365 hasConcept C11012388 @default.
- W4367172365 hasConcept C119857082 @default.
- W4367172365 hasConcept C12267149 @default.
- W4367172365 hasConcept C154945302 @default.
- W4367172365 hasConcept C15744967 @default.
- W4367172365 hasConcept C180747234 @default.
- W4367172365 hasConcept C199360897 @default.
- W4367172365 hasConcept C204321447 @default.
- W4367172365 hasConcept C2776950860 @default.
- W4367172365 hasConcept C2777904410 @default.
- W4367172365 hasConcept C39890363 @default.
- W4367172365 hasConcept C41008148 @default.
- W4367172365 hasConcept C77805123 @default.
- W4367172365 hasConcept C95623464 @default.
- W4367172365 hasConceptScore W4367172365C100660578 @default.
- W4367172365 hasConceptScore W4367172365C11012388 @default.
- W4367172365 hasConceptScore W4367172365C119857082 @default.
- W4367172365 hasConceptScore W4367172365C12267149 @default.
- W4367172365 hasConceptScore W4367172365C154945302 @default.
- W4367172365 hasConceptScore W4367172365C15744967 @default.
- W4367172365 hasConceptScore W4367172365C180747234 @default.
- W4367172365 hasConceptScore W4367172365C199360897 @default.
- W4367172365 hasConceptScore W4367172365C204321447 @default.
- W4367172365 hasConceptScore W4367172365C2776950860 @default.
- W4367172365 hasConceptScore W4367172365C2777904410 @default.
- W4367172365 hasConceptScore W4367172365C39890363 @default.
- W4367172365 hasConceptScore W4367172365C41008148 @default.
- W4367172365 hasConceptScore W4367172365C77805123 @default.
- W4367172365 hasConceptScore W4367172365C95623464 @default.
- W4367172365 hasIssue "3" @default.
- W4367172365 hasLocation W43671723651 @default.
- W4367172365 hasOpenAccess W4367172365 @default.
- W4367172365 hasPrimaryLocation W43671723651 @default.
- W4367172365 hasRelatedWork W1576360539 @default.
- W4367172365 hasRelatedWork W1996541855 @default.
- W4367172365 hasRelatedWork W2355927362 @default.
- W4367172365 hasRelatedWork W2556319748 @default.
- W4367172365 hasRelatedWork W2937631562 @default.
- W4367172365 hasRelatedWork W2961085424 @default.
- W4367172365 hasRelatedWork W3092365268 @default.
- W4367172365 hasRelatedWork W3195168932 @default.
- W4367172365 hasRelatedWork W3200179079 @default.
- W4367172365 hasRelatedWork W4306674287 @default.
- W4367172365 hasVolume "40" @default.
- W4367172365 isParatext "false" @default.
- W4367172365 isRetracted "false" @default.
- W4367172365 workType "article" @default.