Reducing and Detecting On-line Exam Cheating: Building a Better Mousetrap. Protocols for Canvas and Other Learning Management Systems
Author: Elizabeth Stanny & John Urbanski, Ph.D.
Publication: Business Education Innovation Journal
Publication Date: June 2022
Abstract:
The authors provide protocols to reduce item harvesting and item pre-knowledge (Le et al., 2021) in order to protect the integrity of online multiple choice examinations for use in future administrations of an exam. The study also adapts methods used in Golden and Kohlbeck (2020) to help the instructor determine if cheating is occurring with online exams, and provides resources for use with the Canvas and other online learning platforms. A multiple choice exam protected by the protocols was administered to 82 undergraduate business students in a management class taught each semester by one author. Questions for the exam were randomly assigned to students using methods adapted from Golden and Kohlbeck. A statistical analysis of exam results demonstrated that widespread cheating did not occur.
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