Identificação de comportamento ilegítimo em atividades educacionais de programação.

Abstract

As more educational activities are conducted in digital environments, unethical behavior becomes easier to engage in. Educators and institutions, therefore, face the challenge of maintaining the integrity of assessment processes and require solutions that identify and mitigate irregular behavior. This work designed, implemented, and evaluated a service capable of detecting unethical behavior during digital assessment activities, using the Keystroke Dynamics technique, which analyzes user typing patterns. The results show that the solution is capable of accurately identifying suspicious behavior patterns, of ering an ef ective resource to support academic integrity.