Proceedings of the Annual Meeting of the Cognitive Science Society

The predictive performance equation (PPE) is a mathematicalmodel of learning and retention that uses regularities seen inhuman learning to predict future performance. Previous research(Collins, Gluck, Walsh Krusmark & Gunzelmann, , 2016) foundthat prior data could be used to inform PPE’s free parameterswhen generating predictions of a group’s aggregate performance,allowing for more accurate initial performance predictions. Herewe investigate an extension of this methodology to predictperformance of individuals, rather than aggregate samples. Thispaper documents the results of that investigation, which is on thecritical path to the use of this cognitive technology in educationand training.