Eduvision: AI-Powered remote proctoring for authentication of remote candidate during online exam

Snaygah Teiyagu

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Type :	final_year_project
Subject :	LB Theory and practice of education
Main Author :	Snaygah Teiyagu
Title :	Eduvision: AI-Powered remote proctoring for authentication of remote candidate during online exam

Place of Production :	Tanjong Malim
Publisher :	Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :	2023
Corporate Name :	Perpustakaan Tuanku Bainun
PDF Guest :	Click to view PDF file

Abstract : Perpustakaan Tuanku Bainun

Due to the emergence of COVID-19 health issues, most of the higher education institutions throughout the globe had to quickly shift and adapt from on-site examination to online examination in 2020. In effect, identity verification and proctoring of online candidates became one of the key challenges to online examination today. Furthermore, in order to maintain the integrity of the online examination, it is crucial to confirm that the online candidates who finished the online examination and obtained academic credit are those who registered for the courses without engaging in cheating or impersonating other candidates. In this paper, a specific solution is proposed based on the authentication of biometric technology such as facial recognition to verify online candidate’s identity from the registered database and automatic proctoring system with artificial intelligence (AI) algorithms to flag and generate alerts for suspicious behavior in live proctoring with high accuracy. Based on the System Usability Scale that was conducted in this study, a total of thirty respondents were selected randomly to test the application and answer the questionnaire. The responses about the application were collected using a questionnaire from Google Forms. Based on the analysis using System Usability Scale (SUS), the total average score is 70% for this web application.

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