Digital Commons Network^™

Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning And Retention: A Large Scale Model Validation : Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning Andretention: A Large Scale Model Validation, Michael Gordon Collins

Browse all Theses and Dissertations

Mathematical models of learning and retention have long been developed in psychology for both basic and applied research. For basic research, models of learning and retention attempt to explain how individuals acquire and retain information over time. While for applied research, models of learning and retention are used to inform education and training decisions. In both of these applications, the primary purpose of using a model is to fit and predict the performance of individuals. However, little attention has been paid to the interpretation of a model’s free parameters (i.e., learning and decay rates) and the effect that a model’s …