?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Detecting+Generative+Artificial+Intelligence+Essays+using+Large+Language+Models%3A+Machine+and+Deep+Learning+Approaches&rft.creator=Tariq%2C+Rasikh&rft.creator=Casillas-Mu%C3%B1oz%2C+F&rft.creator=Ashraf%2C+Waqar+Muhammad&rft.creator=Ram%C3%ADrez-Montoya%2C+Maria+Soledad&rft.description=The+study+focuses+on+discerning+between+human+and+AI-generated+essays%2C+highlighting+the+ethical+implications+of+AI+in+academia.+It+employs+various+algorithms+like+logistic+regression%2C+Support+Vector+Machine+(SVM)%2C+decision+trees%2C+random+forests%2C+KNN%2C+and+LSTM+to+develop+models+for+essay+classification.+The+TF-IDF+technique+(Term+Frequency-Inverse+Document+Frequency)+is+applied+to+assess+document+word+importance%2C+with+rigorous+parameter+tuning+ensuring+model+accuracy.+Findings+revealed+SVM's+exceptional+precision+and+recall%2C+highlighting+its+robustness+in+accurately+classifying+essays%2C+while+decision+trees+offer+simplicity+but+increased+misclassification+risk.+KNN+strikes+a+balance+and+random+forests+as+well.+LSTM+excels+in+contextual+understanding%2C+albeit+with+higher+computational+demands.+The+research+emphasizes+the+significance+of+algorithm+selection+in+maintaining+academic+integrity+and+fostering+genuine+student+creativity.+SVM+emerges+as+a+robust+and+accurate+choice+for+essay+classification%2C+ensuring+fair+assessment+and+upholding+academic+honesty.&rft.subject=Machine+learning%2C+Deep+learning%2C+Long+ShortTerm+Memory%2C+Support+Vector+Machine%2C+Educational+Innovation%2C%0D%0AGenerative+artificial+intelligence%2C+Higher+education&rft.publisher=IEEE&rft.date=2024-07-08&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++2024+International+Conference+on+Engineering+%26+Computing+Technologies+(ICECT).++(pp.+pp.+1-6).++IEEE%3A+Islamabad%2C+Pakistan.+(2024)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10197150%2F1%2F9.%2520IEEE%25203rd%2520International%2520Conference%2520on%2520Engineering%2520%2526%2520Computing%2520Technologies%2520%2528ICECT%25202024%2529.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10197150%2F&rft.rights=open