@inproceedings{7d5783e089d34199806df5d846cdbed3,
title = "Using Data Analytics to Detect Possible Collusion in a Multiple Choice Quiz Test",
abstract = "This paper reports on the experiences of using an on-line MCQ test to assess students{\textquoteright} 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.",
keywords = "Academic integrity, Data analytics, IS education, MCQ tests",
author = "Michael Lang",
note = "Publisher Copyright: {\textcopyright} 2021, IFIP International Federation for Information Processing.; 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021 ; Conference date: 01-09-2021 Through 03-09-2021",
year = "2021",
doi = "10.1007/978-3-030-85447-8\_63",
language = "English",
isbn = "9783030854461",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "757--762",
editor = "Denis Dennehy and Anastasia Griva and Nancy Pouloudi and Dwivedi, \{Yogesh K.\} and Dwivedi, \{Yogesh K.\} and Ilias Pappas and Ilias Pappas and Matti Mantymaki",
booktitle = "Responsible 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",
}