Detail publikace

A Method for Cheating Indication in Unproctored On-Line Exams

KOMOSNÝ, D. REHMAN, S.

Originální název

A Method for Cheating Indication in Unproctored On-Line Exams

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

COVID-19 has disrupted every field of life and education is not immune to it. Student learning and examinations moved on-line on a few weeks notice, which has created a large workload for academics to grade the assessments and manually detect students’ dishonesty. In this paper, we propose a method to automatically indicate cheating in unproctored on-line exams, when somebody else other than the legitimate student takes the exam. The method is based on the analysis of the student’s on-line traces, which are logged by distance education systems. We work with customized IP geolocation and other data to derive the student’s cheating risk score. We apply the method to approx. 3600 students in 22 courses, where the partial or final on-line exams were unproctored. The found cheating risk scores are presented along with examples of indicated cheatings. The method can be used to select students for knowledge re-validation, or to compare student cheating across courses, age groups, countries, and universities. We compared student cheating risk scores between four academic terms, including two terms of university closure due to COVID-19.

Klíčová slova

network; end device; location; IP address; cheating; e-learning; exam; Moodle; COVID-19; lockdown

Autoři

KOMOSNÝ, D.; REHMAN, S.

Vydáno

15. 1. 2022

Nakladatel

MDPI

Místo

Basel, Switzerland

ISSN

1424-8220

Periodikum

SENSORS

Ročník

22

Číslo

2

Stát

Švýcarská konfederace

Strany od

1

Strany do

18

Strany počet

18

URL

https://www.mdpi.com/1424-8220/22/2/654

Plný text v Digitální knihovně

http://hdl.handle.net/11012/203341

BibTex

@article{BUT175956,
  author="Dan {Komosný} and Saeed {Rehman}",
  title="A Method for Cheating Indication in Unproctored On-Line Exams",
  journal="SENSORS",
  year="2022",
  volume="22",
  number="2",
  pages="1--18",
  doi="10.3390/s22020654",
  issn="1424-8220",
  url="https://www.mdpi.com/1424-8220/22/2/654"
}