Educational Innovation Faced with COVID-19: Deep Learning for Online Exam Cheating Detection

Because the COVID-19 epidemic has limited human activities, it has touched almost every sector. Education is one of the most affected areas. To prevent physical touch between students, schools and campuses must adapt their complete learning system to an online environment. The difficulty with this t...

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Bibliographic Details
Published in:Education sciences 2023-02, Vol.13 (2), p.194
Main Authors: Yulita, Intan Nurma, Hariz, Fauzan Akmal, Suryana, Ino, Prabuwono, Anton Satria
Format: Article
Language:English
Subjects:
Academic misconduct
Accuracy
Algorithms
Analysis
Cameras
Cheating
Cognitive Development
Coronaviruses
COVID-19
Deep learning
Dishonesty
Education
Educational Innovation
Educational innovations
Epidemics
Indonesia
Internet
Learning Processes
Machine learning
Medical research
Methods
Neural networks
online exams
Pandemics
Plagiarism
Students
Teaching Methods
web-based application
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Summary:Because the COVID-19 epidemic has limited human activities, it has touched almost every sector. Education is one of the most affected areas. To prevent physical touch between students, schools and campuses must adapt their complete learning system to an online environment. The difficulty with this technique arises when the teachers or lecturers administer exams. It is difficult to oversee pupils one by one online. This research proposes the development of a computer program to aid in this effort. By applying deep learning models, this program can detect a person’s activities during an online exam based on a web camera. The reliability of this system is 84.52% based on the parameter F1-score. This study built an Indonesian-language web-based application. Teachers and lecturers in Indonesia can use this tool to evaluate whether students are cheating on online exams. Unquestionably, this application is a tool that may be utilized to develop distance learning educational technology in Indonesia.
ISSN:2227-7102
2227-7102
DOI:10.3390/educsci13020194