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E-Cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach - A Case Study PDF

9 Pages·2022·English
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by ['Yasemin Ç. D.']| 2022| 9 pages| English

About E-Cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach - A Case Study

1) The document proposes an artificial intelligence approach using deep learning to detect cheating during online exams. It analyzes limitations of current online education systems in preventing cheating. 2) The proposed approach uses an "e-cheating intelligence agent" with two modules: an internet protocol detector and behavior detector using long short-term memory networks. 3) The approach was tested on datasets of past online exams and achieved accuracy rates of 68-95% at detecting cheating behaviors, demonstrating the effectiveness of using artificial intelligence for this purpose.

Detailed Information

Author:['Yasemin Ç. D.']
Publication Year:2022
Pages:9
Language:English
Format:PDF
Price:FREE
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