“People differ considerably in the extent to which they benefit from working memory (WM) training. … In the current study, 568 undergraduates completed one of several N-back intervention variants over the course of two weeks. … We applied machine-learning algorithms to train a binary tree model to predict individuals’ training patterns relying on several individual difference variables that have been identified as relevant in previous literature. … We found that our classification model showed good predictive power in distinguishing between high performers and relatively lower performers.”

Find the paper and full list of authors at the Journal of Cognition.