Toward Understanding Personalities Working on Computer: A Preliminary Study Focusing on Collusion/Plagiarism

Ayomide Bakare, Sergey Masyagin, Giancarlo Succi, Xavier Vasquez

2021

Abstract

Ample research has been carried out in the area of collusion, plagiarism and e-learning. Collusion is a form of active cheating where two or more parties secretly or illegally cooperate. Collusion is at the root of common knowledge plagiarism. While plagiarism requires two or more entities to compare, collusion can be determined in isolation. It is also possible that collusion does not lead to positive plagiarism checks. It is therefore the aims of this preliminary study to; (i) identify the factors responsible for collusion in e-assessment (ii) determine the prominent factor that is representative of collusion and (iii) through user behaviour including, but not limited to, application switching time, determine collusion. Innometrics software was used to collect data in two compulsory exams (first one written and then oral) taken by the students. Discrepancies in the performance and grades of students in the two exams served as the ground truth in labelling possible collusion. We claim that user computer activities and application processes can help understand user behaviours in e-assessment. It is on this premise that we develop a machine learning model to predict collusion through user behaviour in e-assessment.

Paper Citation

in Harvard Style

Bakare A., Masyagin S., Succi G. and Vasquez X. (2021). Toward Understanding Personalities Working on Computer: A Preliminary Study Focusing on Collusion/Plagiarism. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-508-1, pages 476-483. DOI: 10.5220/0010527904760483

in Bibtex Style

@conference{enase21,
author={Ayomide Bakare and Sergey Masyagin and Giancarlo Succi and Xavier Vasquez},
title={Toward Understanding Personalities Working on Computer: A Preliminary Study Focusing on Collusion/Plagiarism},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2021},
pages={476-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010527904760483},
isbn={978-989-758-508-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Toward Understanding Personalities Working on Computer: A Preliminary Study Focusing on Collusion/Plagiarism
SN - 978-989-758-508-1
AU - Bakare A.
AU - Masyagin S.
AU - Succi G.
AU - Vasquez X.
PY - 2021
SP - 476
EP - 483
DO - 10.5220/0010527904760483