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Errorful and errorless learning: The impact of cue–target constraint in learning from errors

Overview of attention for article published in Memory & Cognition, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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2 news outlets
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1 X user
peer_reviews
1 peer review site

Citations

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17 Dimensions

Readers on

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75 Mendeley
Title
Errorful and errorless learning: The impact of cue–target constraint in learning from errors
Published in
Memory & Cognition, March 2014
DOI 10.3758/s13421-014-0408-z
Pubmed ID
Authors

Emma K. Bridger, Axel Mecklinger

Abstract

The benefits of testing on learning are well described, and attention has recently turned to what happens when errors are elicited during learning: Is testing nonetheless beneficial, or can errors hinder learning? Whilst recent findings have indicated that tests boost learning even if errors are made on every trial, other reports, emphasizing the benefits of errorless learning, have indicated that errors lead to poorer later memory performance. The possibility that this discrepancy is a function of the materials that must be learned-in particular, the relationship between the cues and targets-was addressed here. Cued recall after either a study-only errorless condition or an errorful learning condition was contrasted across cue-target associations, for which the extent to which the target was constrained by the cue was either high or low. Experiment 1 showed that whereas errorful learning led to greater recall for low-constraint stimuli, it led to a significant decrease in recall for high-constraint stimuli. This interaction is thought to reflect the extent to which retrieval is constrained by the cue-target association, as well as by the presence of preexisting semantic associations. The advantage of errorful retrieval for low-constraint stimuli was replicated in Experiment 2, and the interaction with stimulus type was replicated in Experiment 3, even when guesses were randomly designated as being either correct or incorrect. This pattern provides support for inferences derived from reports in which participants made errors on all learning trials, whilst highlighting the impact of material characteristics on the benefits and disadvantages that accrue from errorful learning in episodic memory.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Australia 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Ph. D. Student 12 16%
Student > Bachelor 8 11%
Student > Master 8 11%
Student > Doctoral Student 6 8%
Other 14 19%
Unknown 14 19%
Readers by discipline Count As %
Psychology 36 48%
Business, Management and Accounting 5 7%
Social Sciences 5 7%
Neuroscience 3 4%
Computer Science 2 3%
Other 8 11%
Unknown 16 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2016.
All research outputs
#1,581,743
of 22,749,166 outputs
Outputs from Memory & Cognition
#106
of 1,568 outputs
Outputs of similar age
#17,051
of 220,818 outputs
Outputs of similar age from Memory & Cognition
#4
of 19 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,568 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 220,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.