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ERIC Number: EJ1472107
Record Type: Journal
Publication Date: 2025-Jun
Pages: N/A
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1040-726X
EISSN: EISSN-1573-336X
Available Date: 2025-05-24
Is Covert Retrieval an Effective Learning Strategy? Is It as Effective as Overt Retrieval? Answers from a Meta-Analytic Review
Yadi Yu1; Wenbo Zhao2; Anran Li1; David R. Shanks3; Xiao Hu4,5; Liang Luo1,6; Chunliang Yang1,5
Educational Psychology Review, v37 n2 Article 52 2025
Retrieval practice is well-established as a powerful tool for reinforcing long-term learning. Most previous research has concentrated on the effectiveness of overt retrieval, involving recalling information from memory and generating overt responses by writing, typing, or speaking aloud the retrieved information. Here we ask whether covert retrieval, involving mentally retrieving information without producing overt responses, can enhance learning and consolidate long-term memory, and whether it does so as effectively as overt retrieval. The current meta-analysis integrated data from 2560 participants across 18 studies to investigate the magnitude, boundary conditions, and underlying mechanisms of the covert retrieval effect and the relative efficacy of overt and covert retrieval. The results showed that covert retrieval enhances learning to a small but significant extent (g = 0.23), and its effectiveness is moderated by several factors including provision of corrective feedback, control strategy, and retention interval. The results support the additional exposure and desirable difficulty theories to jointly account for the covert retrieval effect. The meta-analysis also found that overt retrieval is more effective than covert retrieval (g = 0.17), with the effect size of this additional benefit being moderated by the mode by which covert retrieval is performed. The results support the truncated search and desirable difficulty explanations of the relative benefit of overt compared to covert retrieval. Overall, the documented findings provide practical implications for optimizing learning and teaching practices and highlight several important directions for future research.
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Publication Type: Journal Articles; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/bp6tq/
Author Affiliations: 1Beijing Normal University, Institute of Developmental Psychology, Faculty of Psychology, Beijing, China; 2Beijing Normal University, School of Sociology, Beijing, China; 3University College London, Division of Psychology and Language Sciences, London, UK; 4Beijing Normal University, Faculty of Psychology, Beijing, China; 5Beijing Normal University, Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, China; 6Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China