Research on Some Anti-Cheating Methods in Online University Exams and Ways to Deal with These Issues

Abstract

In response to the burgeoning trend of online education, ensuring the integrity of university exams conducted remotely has emerged as a critical concern. This study aims to investigate various anti-cheating methods employed in online university exams, particularly focusing on their effectiveness, benefits, and drawbacks. Utilizing a mixed-method approach comprising qualitative and quantitative analyses, the research explores the landscape of anti-cheating strategies in the context of online exams. Plagiarism detection software, remote proctoring systems, biometric authentication, lockdown browsers, and AI-driven behavior analysis are among the methods under scrutiny. Preliminary findings suggest that these anti-cheating measures have shown promising results in deterring and identifying instances of academic dishonesty among students at FPT University. The benefits include the preservation of academic integrity, the promotion of fair assessment practices, and the maintenance of credibility in online learning environments. However, challenges such as technological limitations, concerns about student privacy, and the potential for biases in detection algorithms warrant careful consideration. Overall, this research endeavors to provide valuable insights into the efficacy and ethical implications of anti-cheating methods in online university exams. By understanding the benefits and drawbacks of these measures, educators and administrators can make informed decisions to uphold academic integrity while ensuring a fair and conducive learning environment for all students.