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E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach – A Case Study
[article]
2021
arXiv
pre-print
This study addresses the current issues in online assessments, which are particularly relevant during the Covid-19 pandemic. Our focus is on academic dishonesty associated with online assessments. We investigated the prevalence of potential e-cheating using a case study and propose preventive measures that could be implemented. We have utilised an e-cheating intelligence agent as a mechanism for detecting the practices of online cheating, which is composed of two major modules: the internet
arXiv:2101.09841v1
fatcat:iapzajbsjrcsrfdcsxxpuehoxy