2018 Annual Meeting of the Decision Sciences Institute Proceedings
49th Annual Meeting of Decision Sciences Institute
November 17 - 19, 2018
In this study, we use Latent Dirichlet Allocation to explore the reflections of students who faced a demanding classroom challenge, to which some responded by colluding. Our five-topic LDA solution describes the cheating event in terms of the nature of the course assignment itself, teams as a resource and support mechanism, the repercussions of cheating, and differences between majors or course tracks. The most relevant topics were the differences between the tracks and the repercussions of cheating. Teams and teammates also play a large role in the students’ reflections. We conclude with the implications of these topics in future research.
Shrader, Charles B.; Ravenscroft, Sue P.; and Kaufmann, Jeffrey, "An analysis of classroom collusion using Latent Dirichlet Allocation" (2018). Management Conference Papers, Posters and Proceedings. 1.