Decomposing serial learning: what is missing from the learning curve?
Our current understanding of serial learning relies on the form of the learning curve and on changes in the serial position curve over repeated study-test trials (Ward, 1937). The averaging of data that produces these functions obscures the detailed history of memory for individual items over the course of study-test trials. Extending Tulving's (1964) analysis of free recall learning, we present a new analysis of serial learning that tracks the acquisition and forgetting of item and order information at the level of individual items. Applying this analysis to two large data sets on serial list learning allows us to discern among hypotheses that are indistinguishable solely on the basis of the learning curve.
Addis
Kelly M
KM
Brandeis University, Waltham, Massachusetts, USA.
Kahana
Michael J
MJ
D006801:Humans; D007858:Learning; D008568:Memory; D011939:Mental Recall; D008960:Models, Psychological