An intelligent testing system development based on the shingle algorithm for assessing humanities students' academic achievements

S Brimzhanova, S Atanov, K Moldamurat… - Education and …, 2022 - Springer
Computer-based testing of humanities students has some inconveniences and difficulties,
where the whole learning process is practically based on communicative methods. In this …

Source code plagiarism detection in an educational context: A literature mapping

RC Aniceto, M Holanda, C Castanho… - 2021 IEEE Frontiers in …, 2021 - ieeexplore.ieee.org
Detection of plagiarism in students' source codes in college-level programming courses is
an important topic for instructors and institutions that seek to pursue project-based learning …

Abstract syntax tree based source code antiplagiarism system for large projects set

M Duracik, P Hrkut, E Krsak, S Toth - IEEE Access, 2020 - ieeexplore.ieee.org
The paper deals with the issue of detecting plagiarism in source code, which we
unfortunately encounter when teaching subjects dealing with programming and software …

Influence of contrastive learning on source code plagiarism detection through recursive neural networks

MA Fokam, R Ajoodha - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Plagiarism during programming assignments is a problem in academia. It hinders the ability
of academic instructors to truly judge students' performance and thus, prevents students from …

Current Trends in the Search for Similarities in Source Codes with an Application in the Field of Plagiarism and Clone Detection

P Hrkút, M Ďuračík, Š Toth… - 2023 33rd Conference of …, 2023 - ieeexplore.ieee.org
There are many methods and approaches for determining the similarity between two source
codes. Many of them were inspired by developments in the field of NLP (Natural Language …

[PDF][PDF] Building awareness of programming plagiarism and collusion through similarity feedback generation

O Karnalim - 2022 - nova.newcastle.edu.au
Programming plagiarism and collusion can be mitigated by informing students about
acceptable practices. However, as that solution is often implemented manually, with a …

Contextual soft dropout method in training of artificial neural networks

TN Ly, R Kern, K Pathak, K Wołk, ED Burnell - Asian Conference on …, 2021 - Springer
Research upon artificial neural networks has yielded regularization techniques in order to
reduce overfitting, reduce weight increase rate, and in consequence improve model …

An Intelligent Approach for Semantic Plagiarism Detection in Scientific Papers

AAM Saeed, AY Taqa - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
Plagiarism is the attempt to steal someone else's idea and portray it as your own, which is
both unlawful and unethical. Plagiarism detection is described as the automatic detection of …

Méthode d'évaluation des compétences dans la conception des commandes de procédés industriels avec des automates programmables industriels

Y Boulerhcha - 2023 - constellation.uqac.ca
De nos jours, il est courant d'utiliser des systèmes d'évaluation et de notation automatisés
sur les plateformes d'apprentissage en ligne pour évaluer la fonctionnalité et la qualité d'un …