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A biclustering approach for detecting cheating in educational assessments

Year: 2025

Type: dissertation

Abstract: Cheating detection in educational assessments remains a challenging issue, complicated by increasingly sophisticated cheating strategies and the rise of remote testing environments. In this dissertation, I introduce a novel biclustering approach for detecting cheating by simultaneously identifying groups of examinees and test items exhibiting suspicious response patterns. This biclustering method enables comprehensive detection of cheating behaviors by analyzing response accuracy, response time, and answer choices.

Source: Iowa Research Online (The University of Iowa)

DOI: 10.25820/etd.007813

Author: Lee, Hyeryung

Language: English

Topic: Academic integrity and plagiarism

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6908383176

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