Student Cheating Detection System in E-exams
Razan Hamza Bawarith · 2017
With the expansion of Internet and technology over the past decade, E-learning has grown exponentially day by day. Cheating in exams has been a widespread phenomenon all over the world regardless of the levels of the technology development. Therefore, detection of traditional cheating methods may no longer be wholly successful to fully prevent cheating during examinations. Online examination is an integral and vital component of E-learning. Students’ exams in E-learning are remotely submitted without any monitoring from physical proctors. As a result of being able to easily cheat during e-exams, E-learning universities depend on an examination process in that students take a face-to-face examination in a physical place allocated on the university campus under supervised conditions, however this conflicts with the concept of E-learning. This thesis investigates the methods used by student for cheating in distance exams (D-exam) through: continuous authentication which refers to a method to guarantee that the authenticated person is the one who only takes the exam all over the entire exam session; and using online proctors which refer to effective methods to detect cheating in D-exam. In this thesis, we build an E-exam management system, which can detect the cheating in D-exam. The work of this system can be divided into two phases .The first phase is before being permitted to attend the D-exam session, Fingerprint Reader used to authenticate the examinee. The second phase is during the exam session, it is required to continuously guarantee that the examinee is the one who is claiming to be. Eye Tribe Tracker is utilized during the D-exam session. As result that; we can define the examinee status whether cheating or non-cheating exam through these two parameters: the total an examinee time on out screen and the number of times the examinee is out of screen. The approach that is proposed in this thesis is a novel technique applied in the E-exam management systems.