Self-derivation through memory integration: clusters of precursor sub-processes

Knowledge builds through direct experiences (e.g., teaching) and productive processes (e.g., analogy). There is variability in the specific productive process of self-derivation of new knowledge through integration of separate yet related episodes of new learning. The variability relates to each of four hypothesised precursor sub-processes: encoding, reactivation, integration (all three for both children and adults), and selection (tested in children only). However, relations between each sub-process and self-derivation have been investigated in separate samples. As such, how they work together to support self-derivation is unknown. In the current research, we investigated all four sub-processes in samples of 7-11-year-olds (Study 1) and college-age adults (Study 2). In the child sample and in the combined sample of children and adults, encoding, reactivation, and integration each were found to relate to self-derivation; selection was not related to self-derivation. In the children sample and in the combined sample of children and adults, cluster analyses revealed two paths to successful self-derivation, one of which was more prompt-independent and the other seemingly was dependent on prompts. There also were two paths to unsuccessful self-derivation, both characterised by low success at encoding. The results provide new insight into sources of variability in self-derivation through memory integration.

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Publication Details

Journal
Memory
Published
2026-01-29
DOI
https://doi.org/10.1080/09658211.2026.2619445
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
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article

Self-derivation through memory integration: clusters of precursor sub-processes

Katherine Lee, Lucy M Cronin-Golomb, Patricia J. Bauer, Greer E. Spradling
Memory
Innovative Teaching and Learning Methods
article

Self-derivation through memory integration: clusters of precursor sub-processes

Katherine Lee, Lucy M Cronin-Golomb, Patricia J. Bauer, Greer E. Spradling
article en

Abstract

Knowledge builds through direct experiences (e.g., teaching) and productive processes (e.g., analogy). There is variability in the specific productive process of self-derivation of new knowledge through integration of separate yet related episodes of new learning. The variability relates to each of four hypothesised precursor sub-processes: encoding, reactivation, integration (all three for both children and adults), and selection (tested in children only). However, relations between each sub-process and self-derivation have been investigated in separate samples. As such, how they work together to support self-derivation is unknown. In the current research, we investigated all four sub-processes in samples of 7-11-year-olds (Study 1) and college-age adults (Study 2). In the child sample and in the combined sample of children and adults, encoding, reactivation, and integration each were found to relate to self-derivation; selection was not related to self-derivation. In the children sample and in the combined sample of children and adults, cluster analyses revealed two paths to successful self-derivation, one of which was more prompt-independent and the other seemingly was dependent on prompts. There also were two paths to unsuccessful self-derivation, both characterised by low success at encoding. The results provide new insight into sources of variability in self-derivation through memory integration.

MemoryVol. 34(3)
Emory University (US)
Openalex Percentile: Top 75%
Innovative Teaching and Learning Methods
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