Sledování aktivity v systému Kelvin

Abstract

The thesis examines cheating techniques in e-learning systems and their prevention and detection. With the increasing level of digitalization in education, there is a growing need to ensure the credibility of school systems used for student assessment. Online testing introduces a number of specific requirements and risks, such as the use of external devices, sharing solutions among students, or abuse of communication tools. The theoretical part of the thesis identifies and then analyzes various categories of cheating in the e-learning environment and explores possibilities for their detection and prevention. The practical part is focused on the implementation of selected techniques into the Kelvin system. The aim of the thesis is to design and implement modifications to the system that will enhance testing capabilities and ensure the fairness of the entire process.

Description

Delayed publication

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Subject(s)

frontend, backend, web applications, Kelvin, testing, user activity tracking, e-learning, Django, Vue, Python, JavaScript

Citation