Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…

Previous research on nudges conducted with adults suggests that the accessibility of behavioral options can influence people's decisions. The present study examined whether accessibility can be used to reduce academic cheating among young children. We gave children a challenging math test in the presence of an answer key they were instructed not…

Cheating is a common human behavior but few studies have examined its emergence during early childhood. In three preregistered studies, a challenging math test was administered to 5- to 6-year-old children (total N = 500; 255 girls). An answer key was present as children completed the test, but they were instructed to not peek at it. In Study 1,…