Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 17, October 2022

An Intelligent System to Automate the Detection of Online Cheating Activities
using AI and Context Aware Techniques

  Authors

Qinyuhan Zhao1, Mingze Gao2 and Yu Sun3, 1Pacific Academy Irvine, USA, 2University of California, USA, 3California State Polytechnic University, USA

  Abstract

In the environment of online courses and online exams, cheating in online courses is prevalent [1]. To better ensure fairness in exams, schools and educational institutions need to use technology to detect and deter cheating [2]. Starting from practical application, this paper discusses 3 different methods to detect cheating behavior, and proposes a new way. for online exam supervision.

  Keywords

Machine Learning, Audio Detection, Context-Aware.