Evidence map›Paper›PMID 41009321›Full record

ReviewBehavioral sciences (Basel, Switzerland)2025

Self-Controlled Feedback and Behavioral Outcomes in Motor Skill Learning: A Meta-Analysis.

Biye Wang, Tao Tao, Yuchen Yuan, Wei Guo

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Biye WangCollege of Physical Education, Yangzhou University, Yangzhou 225000, China.ORCID 0000-0002-0982-8440
Tao TaoCollege of Physical Education, Yangzhou University, Yangzhou 225000, China.ORCID 0009-0007-1314-5558
Yuchen YuanCollege of Physical Education, Yangzhou University, Yangzhou 225000, China.
Wei GuoCollege of Physical Education, Yangzhou University, Yangzhou 225000, China.

Funding

National Social Science Fund of China 21CTY013
6 · The paper itself

Abstract

Providing feedback is a key instructional strategy in motor learning. Recently, interest has grown in self-controlled (SC) feedback, which allows learners to choose when to receive feedback. However, evidence on its effectiveness remains mixed, and its impact across different learning phases and populations is unclear. This meta-analysis assessed the effect of SC feedback on motor skill learning during acquisition, retention, and transfer phases, compared to passively received (PR) feedback and Yoked (YK) feedback groups. A comprehensive search of three datasets identified 29 studies comprising 1147 participants. Although SC feedback did not bring a significant advantage in the acquisition phase, it facilitated motor skill learning in both the retention and transfer phases. Moderator analyses revealed that cognitive status influenced SC feedback efficacy during the acquisition phase, with significant effects observed only in cognitively impaired individuals. Additionally, skill type moderated outcomes in the transfer phase, with series skills showing greater benefits than discrete skills, and this effect was significant only when compared to the YK group. In summary, SC feedback-enhanced motor skill learning in the retention and transfer phases, supporting its role in the consolidation and generalization of learning. Additionally, cognitively impaired individuals showed greater benefits during the acquisition phase, and series skills demonstrated more substantial gains in the transfer phase.

Indexed as

augmented feedbackmeta-analysismotor learningself-controlled feedback

Identifiers

PMID41009321
PMCPMC12467369

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.