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Conference Papers Year : 2021

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

Michael Lang
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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.
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hal-03648132 , version 1 (21-04-2022)

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Michael Lang. Using Data Analytics to Detect Possible Collusion in a Multiple Choice Quiz Test. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.757-762, ⟨10.1007/978-3-030-85447-8_63⟩. ⟨hal-03648132⟩
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