Using Data Analytics to Detect Possible Collusion in a Multiple Choice Quiz Test

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

This paper reports on the experiences of using an on-line MCQ test to assess students’ knowledge for a postgraduate module. Because of the COVID-19 pandemic, the test was taken in a remote non-proctored environment. Although it was executed under timed conditions with students seeing questions in a randomised order, algorithmic analysis of the response patterns suggests that collusion occurred during the test. Practical implications for assessment design and administration are discussed.

Original languageEnglish
Title of host publicationResponsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings
EditorsDenis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Yogesh K. Dwivedi, Ilias Pappas, Ilias Pappas, Matti Mantymaki
PublisherSpringer Science and Business Media Deutschland GmbH
Pages757-762
Number of pages6
ISBN (Print)9783030854461
DOIs
Publication statusPublished - 2021
Event20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021 - Galway, Ireland
Duration: 1 Sep 20213 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12896 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021
Country/TerritoryIreland
CityGalway
Period1/09/213/09/21

Keywords

  • Academic integrity
  • Data analytics
  • IS education
  • MCQ tests

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