"All About Us": Indigenous Data Analysis Workshop-Capacity Building in the Canadian Alliance for Healthy Hearts and Minds First Nations Cohort
CJC open
academic cheating common little known early emergence examined among chinese second sixth graders n 2094 53 boys collected 2018 2019 using machine learning approach overall 2574 reported cheated predicted best machine learning algorithm random forest mean accuracy 8143 cheating strongly predicted childrens beliefs acceptability cheating observed prevalence frequency peer cheating school findings provide important insights early development academic cheating promote academic integrity limit cheating becomes entrenched present research demonstrates machine learning effectively used analyze developmental data