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I remember it now, so I'll remember it later: Working Memory Representations Guide Inaccurate Predictions of Future Memory Performance

Authors :
Julia Krasnoff
Alessandra S. Souza
Publication Year :
2021
Publisher :
Center for Open Science, 2021.

Abstract

Making accurate predictions of future memory performance (Judgements of Learning; JOLs) is a prerequisite for efficient learning. Since decades, those JOLs are assumed to be made inferentially, based on cues. This cue-utilization approach substituted the idea that JOLs are directly linked to memory quality. We criticize the reasons for the rejection of this memory-strength hypothesis because they ignore the existence of two different memory systems: working memory which holds representations immediately accessible, and long-term memory which is a more permanent store. Considering both memory systems, the current work revisited the memory-strength hypothesis: In Experiment 1, participants memorized sequences of two or four colored objects, then they provided JOLs for a long-term memory test, and performed a working memory test on the objects’ colors. After learning 200 objects, the long-term memory test on all studied objects followed. Sequence-length affected working memory, but not long-term memory performance. JOLs, however, were higher for sequences of two than four and correlated higher with working memory than long-term memory performance. Experiment 2 replicated the sequence-length effect on JOLs in the absence of a working memory test. Results of a sequence-eight condition revealed an increase in JOLs’ accuracy when the number of studied objects exceeded working memory span. Contrary to predominant theories, our findings suggest that JOLs are based on the quality of memory representations.

Subjects

Subjects :
Hardware_MEMORYSTRUCTURES

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........db06b86a1d6990a740aff6acf984733d
Full Text :
https://doi.org/10.31234/osf.io/zxdva