Our idea was to compare each hand-in to all other hand-ins and see the degree of overlap between them. This was achieved using the
ngram r-package to break each hand-in into a list of “phrases” and then to count how many times each phrase appeared across a pair of documents1. Finally, the percent of non-unique phrases was calculated.
Looking for Cheaters
We then ran this algorithm across all 300~ hand-ins, and found that it seems like the
knuckle-headed overheard student estimation of “we all just copied from each other” was an extreme exaggeration. Looking at the distribution of overlap, we can see the vast majority of overlap was quite small (and even this small degree of overlap could be accounted for by the fact the most hand-ins contained the assignment instructions in them):
As is evident from this graph, there were some hand-ins with a 100% overlap! Zooming in to the 70-100% range, it becomes clearer that some students were mischievous!
Plotting the relations between this subgroup, it was apparent some students had become close friends over their first year…
The After Math
Other than the cheating students received a failing grade on their assignments, I think we can say that the war on cheaters has escalated – and we cant wait to see the new methods students will use for cheating next year!
If you also want to find cheaters, you can try
cheatR for yourself by installing it in R and running it locally, by running:
# install.packages("devtools") devtools::install_github("mattansb/cheatR")
or you can try our shiny app!