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Student Cheating Detection in Higher Education by Implementing Machine Learning and LSTM Techniques
Both paper-based and computerized exams have a high level of cheating. It is, therefore, desirable to be able to detect cheating accurately. Keeping the academic integrity of student evaluations intact is one of the biggest issues in online education. There is a substantial possibility of academic d...
Autor principal: | Alsabhan, Waleed |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142698/ https://www.ncbi.nlm.nih.gov/pubmed/37112489 http://dx.doi.org/10.3390/s23084149 |
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