Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1218
Title: Standalone Application and Chromium Browser Extension-based System for Online Examination Cheating Detection
Authors: Kariyawasam, S.
Lakshan, A.
Liyanage, A.
Gimhana, K.
Piyawardana, V.
Mallawarachchi, Y.
Keywords: online examination
cheating
e-learning
image processing
audio analysis
Issue Date: 9-Dec-2021
Publisher: 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: Educational organizations and institutes that provide services to the public use e-learning frequently than before. The incapacity to evaluate the knowledge acquired is a flaw in education. Due to the current situation, traditional evaluation and examinations are not possible. In a developing country like Sri Lanka, the conduct of online examinations has not been efficient, resulting in cheating at examinations due to vulnerabilities resulting from organizational policies and the difficulty to track down candidates who are prone to cheating, therefore use of facial features for candidate verification and to monitor the background interactions the use of audio and video is taken into consideration with the aid of two cameras; the system mounted camera and a wearable camera containing a microphone allowing audio detection. In this research, we suggest using the training data set generated from individuals to undertake a training approach to improve the robustness for background interactions through audio and video to detect the level of cheating of candidates.
URI: http://rda.sliit.lk/handle/123456789/1218
ISSN: 978-1-6654-0862-2/21
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Information Technology-Scopes



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.